Image processing device, image processing method, recording medium, and program

ABSTRACT

An image acquisition unit acquires multiple image data sets of pixels in array, having subject distortion due to focal plane shutter effects, corresponding to images taken at continuous exposure timings; a coefficient storage unit stores coefficients, determined by which number-in-order of multiple images that the image data set corresponds to, and by each pixel position in the image; a multiplying unit multiplies a pixel value of a predetermined pixel in the image data sets, by the coefficient stored in the coefficient storage means; and an adding unit adds each pixel value of a predetermined number of the image data sets. The coefficients include a coefficient wherein, at the earliest image data set, pixels exposed earlier are weighted less and pixels exposed later are weighted more, and a coefficient wherein, at the latest image data set, pixels exposed earlier are weighted more and pixels exposed later are weighted less.

CROSS REFERENCES TO RELATED APPLICATIONS

The present invention contains subject matter related to Japanese PatentApplication JP 2006-066929 filed in the Japanese Patent Office on Jun.16, 2006, the entire contents of which are incorporated herein byreference.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates to an image processing device, an imageprocessing method, a recording medium, and a program, and moreparticularly relates to an image processing device, an image processingmethod, a recording medium, and a program, capable of correctingdistortion due to focal plane shutter effects in a taken image.

2. Description of the Related Art

The principle of readout from a CCD image sensor 11 will be describedwith reference to FIGS. 1 through 2C.

The CCD image sensor 11 includes photodiodes 21, vertical CCDs 22, ahorizontal CCD 23, and an output amplifier 24.

As shown in FIG. 2A, at the CCD image sensor 11, charges stored in thephotodiodes 21 are transferred to the vertical CCDs 22, at the sametiming for all pixels. Subsequently, as shown in FIG. 2B, charges aretransferred one at a time from all vertical CCDs 22 arrayedhorizontally, to the horizontal CCD 23.

Next, as shown in FIG. 2C, these charges for all pixels are transferredin the horizontal direction at the horizontal CCD 23, subjected tosignal amplification at the output amplifier 24, and externally outputas analog signals.

Then, once again, charges are transferred one at a time vertically fromthe vertical CCDs 22 to the horizontal CCD 23, following which allcharges are transferred in the horizontal direction at the horizontalCCD 23, subjected to signal amplification at the output amplifier 24,and externally output as analog signals. This is repeated until allcharges transferred from the photodiodes 21 to the vertical CCDs 22(i.e., charges for all pixels) have been externally output.

Thus, with a CCD image sensor 11, charges stored in all of thephotodiodes 21 are transferred to the vertical CCDs 22 all at once, sothe point-in-time at which exposure ends is the same for all pixels, andfurther, the point-in-time at which exposure is started, i.e., thepoint-in-time at which light is cast on all photodiodes 21 andphotoelectric conversion is started again is the same for all pixels.This is what is known as a “global shutter” operation.

Next, the principle of readout from a CMOS image sensor 41 will bedescribed with reference to FIGS. 3 through 4C.

With a CMOS image sensor 41, charges stored in the photodiodes 21 areoutput to vertical signal lines 51 in the from of signal currents, viaunshown in-pixel amp transistors and transfer transistors. The signalcurrents are then supplied to a column signal processing units 52,subjected to predetermined signal processing, and then externallyoutput.

The photodiodes 21 corresponding to each pixel vertically arrayed isconnected in common to the vertical signal line 51 thereof, so in orderto read out the signal from each pixel independently, an arrangement hasto be made wherein only one pixel worth of signal is output to thevertical signal line 51 each time.

That is to say, with a CMOS image sensor 41, signals are first read outfrom each of the photodiodes 21 corresponding to the pixels arrayed atthe bottom row (head row) for example, as shown in FIG. 4A, followingwhich the row being read is sequentially changed as shown in FIG. 4B,and finally signals are read out from each of the photodiodes 21corresponding to the pixels arrayed at the top row (final row), as shownin FIG. 4C, thereby enabling signals for all of the pixels to be readout independently.

At this time, each photodiode 21 starts exposure again immediatelyfollowing readout of the stored charge, so there is difference in theexposure start point-in-time and the exposure end point-in-time betweenthe photodiode 21 of the head row and the photodiode 21 of the finalrow. This is a shutter action known as a focal-plane shutter action (orrolling shutter action).

The exposure start timing and the exposure end timing of the photodiodes21 of each row, and the charge readout start timing, will be describedwith reference to FIGS. 5 and 6.

FIG. 5 illustrates a case wherein an electronic shutter is not employed,and FIG. 6 illustrates a case wherein an electronic shutter is employed.FIGS. 5 and 6 illustrate the relation between time axis, represented bythe horizontal axis, and rows, represented by the vertical axis.

That is to say, since the readout timing of charges from the photodiodes21 of each row cannot occur concurrently, readout of all pixels of thepreceding frame, i.e., readout of the charges of the last row of thepreceding frame, must be completed before the exposure time T1 elapsesfrom starting of exposure of the photodiodes 21 of the leading row andreading of charges from the photodiodes 21 of the leading row starts.

For example, as shown in FIG. 5, in the event that no electronic shutteris used, in a case wherein the ending of readout of charge of the N'thframe stored in the photodiodes 21 of the last row (starting exposure ofthe N+1'th frame) and starting readout of charges of the N+1'th framestored in the photodiodes 21 of the leading row (ending exposure of theN+1'th frame) occur at consecutive timings, the difference in the timingof starting exposure between the leading row and the last row isminimal, and is approximately equal to the exposure timing T1.

As shown in FIG. 6, in the case of using an electronic shutter, there isan invalid exposure period due to the electronic shutter, so thedifference in exposure starting timing between the leading row and thefinal row is approximately equal to the sum of the exposure period T2and the invalid exposure period due to the electronic shutter.

In the event of shooting a moving subject, or in the event of the cameraitself changing angle (panning) during exposure, image distortion occursdue to exposure time offset due to focal plane shutter operations (orrolling shutter operations). The phenomenon wherein such distortionoccurs is known as “focal plane shutter effects” (or “rolling shuttereffects”).

A specific example of trouble occurring in a taken image due to focalplane shutter effects will be described with reference to FIGS. 7Athrough 8B.

Let us say that we are shooting an object rotating at high speed withfour blades, as a subject. FIG. 7A illustrates an image obtained byshooting with a global shutter operation wherein the exposure timings ofall pixels match, such as with a CCD imaging device, and FIG. 7Billustrates an image obtained by shooting with focal plane shutterreadout.

We will further say that with the focal plane shutter, the exposurestart point-in-time shifts from the top of the taken image toward thebottom thereof, and that the subject is rotating in thecounter-clockwise direction.

With the global shutter operations, the exposure timing for capturingthe motion of the subject is identical for all pixels, so there may becases wherein a moving subject appears blurred in the taken imagedepending on the shutter speed, but the shape of the subject itself canbe captured in a true manner.

On the other hand, with the focal plane shutter operation, the exposurestart point-in-time shifts in the direction of rotation for portionswhich move from the right to the left within the screen, so the fartherdown in the image, the greater the distortion of shape is toward theleft. Also, portions which move from the top toward the bottom withinthe screen match the shift in exposure start point-in-time, so thefarther down in the image, the wider the shape appears. For portionswhich move from the left to the right within the screen, the fartherdown in the image, the greater the distortion of shape is in thedirection of motion, i.e., toward the right. Moreover, portions whichmove from the bottom toward the tow within the screen move opposite tothe shift in exposure start point-in-time, so the farther up in theimage, the narrower the shape appears.

Thus, in the event of taking a moving subject with an imaging deviceperforming focal plane shutter operations, the obtained taken image isdistorted according to the direction of movement.

Next, in a case of an example wherein the camera is moved (pannedhorizontally) at the time of taking a still subject, FIG. 8A illustratesan image obtained by shooting with a global shutter operation whereinthe exposure timings of all pixels match, and FIG. 8B illustrates animage obtained by shooting with focal plane shutter readout. Thesituation illustrated here is a case wherein the camera is panned fromthe left to the right while shooting.

In this case as well, with the global shutter operations, the exposuretiming for capturing the motion of the subject is identical for allpixels, so there may be cases wherein a moving subject appears blurredin the taken image depending on the shutter speed, but the shape of thesubject itself can be captured in a true manner.

However, with focal plan shutter operations, the shape of the subjectappears distorted in the direction of movement of the camera, due to therelation between movement of the camera and the offset in exposure startpoint-in-time.

Note that with the distortion of the subject due to the focal planeshutter operations described with FIGS. 7A through 8B, the greater themotion of the subject is, and/or the greater the motion of the camerais, the greater the distortion is. Even with a fast shutter speed,distortion will occur in the taken image of the motion of the subject orcamera is great.

Accordingly, there has been developed a technique for alleviating imagedistortion due to focal plane shutter readout with a CMOS image sensor,for example by writing data from the CMOS image sensor to externalmemory faster than the frame rate and reading the written data out moreslowly in accordance with the frame rate, thereby obtaining a takenimage equivalent to that of global shutter operations (e.g., seeJapanese Unexamined Patent Application Publication No. 2004-140479).

There have also been proposed a technique wherein transistors necessaryfor global shutter operations are added to the pixels (e.g., seeJapanese Unexamined Patent Application Publication No. 2004-140149), atechnique wherein capacitors necessary for global shutter operations are(e.g., see Japanese Unexamined Patent Application Publication No.2004-159555), a technique wherein both transistors and capacitorsnecessary for global shutter operations are added (e.g., see JapaneseUnexamined Patent Application Publication No. 2005-65074), and so forth.

Further, there has been proposed an image processing technique wherein,for example, image distortion obtained by shooting with focal planeshutter operations is corrected by comparison with a registeredreference image (e.g., see Japanese Unexamined Patent ApplicationPublication No. 58945).

SUMMARY OF THE INVENTION

However, with the technique described in Japanese Unexamined PatentApplication Publication No. 2004-140479, high-speed readout operationsso fast that deformation and distortion of subject images becomenegligible become extremely difficult as the number of pixels increases,and further, power consumption and noise increase. In other words,high-speed readout within a range wherein increased power consumptionand noise can be suppressed does not exhibit sufficient alleviation ofdeformation and distortion of subject images.

Also, the techniques described in Japanese Unexamined Patent ApplicationPublication Nos. 2004-140149, 2004-159555, and 2005-65074 involveincreasing the pixel size, so there are restrictions that this cannot beapplied to small image sensors with a great number of pixels.

Also, the technique described in Japanese Unexamined Patent ApplicationPublication No. 2006-58945 requires a reference image for correctingtaken images, and accordingly cannot be used for general-purposeapplications.

Thus, there is a need for a simple configuration capable of correctingdistortion due to focal plane shutter effects in a taken image.

An image processing device according to an embodiment of the presentinvention comprises: image acquisition means, for acquiring a pluralityof image data sets configured of a plurality of pixels disposed in arrayfashion and having subject distortion due to focal plane shutter effectsand corresponding to taken images taken at continuous exposure timings;coefficient storage means for storing particular coefficients, thecoefficients being determined by which number-in-order of a plurality ofimages that the image data set, acquired by the image acquisition means,corresponds to, and determined by each pixel position in the image;multiplying means for multiplying a pixel value of a predetermined pixelin the image data sets, acquired by the image acquisition means, by theparticular coefficient stored in the coefficient storage means; andadding means for adding each pixel value of a predetermined number ofthe image data sets, including the image data sets having the pixelswhich have been multiplied by the particular coefficients by themultiplying means; wherein the particular coefficients stored in thecoefficient storage means include a coefficient wherein, at the imagedata set taken at the earliest point-in-time of the image data setssubjected to addition by the adding means, pixels exposed at an earlypoint-in-time are weighted less and pixels exposed at a latepoint-in-time are weighted more, and a coefficient wherein, at the imagedata set taken at the latest point-in-time of the image data setssubjected to addition by the adding means, pixels exposed at an earlypoint-in-time are weighted more and pixels exposed at a latepoint-in-time are weighted less.

The image processing device may further comprise image-taking means fortaking an image of a predetermined subject, and the image acquisitionmeans may acquire the image data sets obtained by being taken by theimage-taking means. The image-taking means may have photoelectricconversion functions.

The particular coefficients stored in the coefficient storage means mayinclude particular coefficients multiplied on predetermined pixels ofthe image data sets other than the image data set taken at the earliestpoint-in-time and the image data set taken at the latest point-in-timeof the image data sets subjected to addition by the adding means, withthe multiplying means multiplying the particular coefficients stored inthe coefficient storage means on pixel values of predetermined pixels ofthree or more of the image data sets, of the image data sets subjectedto addition by the adding means.

The adding means may further comprise: holding means for temporarilyholding an image data frame; and pixel value adding means for adding thepixel values of corresponding pixels of one or the other of the imagedata set having the pixels on which the particular coefficient has beenmultiplied by the multiplying means and the image data set acquired bythe image acquisition means, and the image data frame held in theholding means; with one or the other of the image data set taken at theearliest point-in-time of the image data sets subjected to addition bythe adding means and the image data set calculated by addition of pixelvalues of corresponding pixels by the pixel adding means beingoverwritten on the holding means so as to be held therein.

The image processing device may further comprise: a plurality of imagedata holding means for holding the image data sets acquired by the imageacquisition means; and selecting means for selecting which of theplurality of image data holding means to supply the image data setsacquired by the image acquisition means to so as to be held therein;with the number of the multiplying means provided being the same as thatof the image data holding means, in a corresponding manner; themultiplying means reading out the particular coefficient from theparticular coefficients stored in the coefficient storage means asnecessary, based on the number-in-order of image-taking of the imagedata set held in the corresponding image data holding means within theplurality of image data sets added by the adding means, and executingmultiplication of the pixel values of predetermined pixels of the imagedata set by the particular coefficient.

The selecting means may select, of the image data sets hold in theplurality of image data holding means, the image data holding meanswhere the image data set taken at the earliest point-in-time is beingheld, as the data holding means to hold the image data set newlyacquired by the image acquisition means.

The image data set acquired by the image acquisition means may be RAWformat data. The image data set acquired by the image acquisition meansmay be image data wherein RAW format data has been subjected topredetermined processing so as to be displayable in a viewable state.

The image processing device may further comprise signal processing meansfor adjusting pixel signals of each of the pixels included in the imagedata set acquired by the image acquisition means, to a desired signalform or signal level.

In the event that the image data set acquired by the image acquisitionmeans is analog signals, the signal processing means may executeprocessing for converting analog signals into digital signals. In theevent that the image data set acquired by the image acquisition means isRAW format data, the signal processing means may execute processing forsetting a black level of a signal processing system, and interpolatingthe signal level of dropped pixels which do not perform normal signaloutput, based on surrounding normal pixel signal levels.

In the event that the image data set acquired by the image acquisitionmeans is image data wherein RAW format data has been subjected topredetermined processing so as to be displayable in a viewable state,the signal processing means may execute processing for subjecting theimage data to inverse gamma conversion, so as to have the samebrightness signal properties as RAW format data.

The image processing device may further comprise operating inputacquisition means for receiving operating input of a user, with theoperating input acquisition means receiving operating input for settingthe predetermined number of the image data sets to be added by theadding means.

The image processing device may further comprise operating inputacquisition means for receiving operating input of a user, with theoperating input acquisition means receiving operating input for settingthe particular coefficients stored by the coefficient storage means.

According to another embodiment of the present invention, an imageprocessing method for an image processing device which uses a pluralityof image data frames to generate a corrected image of a taken imagehaving subject distortion due to focal plane shutter effects comprisesthe steps of: acquiring a plurality of image data sets configured of aplurality of pixels disposed in array fashion and having subjectdistortion due to focal plane shutter effects and corresponding to aplurality of taken images taken at continuous exposure timings;acquiring, from a coefficient storage unit for storing particularcoefficients, coefficients determined by which number-in-order of aplurality of images that the acquired image data set corresponds to, anddetermined by each pixel position in the image; multiplying of a pixelvalue of a predetermined pixel in the image data sets by the particularcoefficient which has been acquired; and adding of each pixel value of apredetermined number of the image data sets, including the image datasets having the pixels which have been multiplied by the particularcoefficients; wherein the particular coefficients stored in thecoefficient storage unit include a coefficient wherein, at the imagedata set taken at the earliest point-in-time of the plurality of imagedata sets subjected to addition, pixels exposed at an earlypoint-in-time are weighted less and pixels exposed at a latepoint-in-time are weighted more, and a coefficient wherein, at the imagedata set taken at the latest point-in-time of the plurality of imagedata sets subjected to addition, pixels exposed at an earlypoint-in-time are weighted more and pixels exposed at a latepoint-in-time are weighted less.

According to another embodiment of the present invention, with a programfor causing a computer to execute processing of using a plurality ofimage data frames to generate a corrected image of a taken image havingsubject distortion due to focal plane shutter effects, the processingcomprises the steps of: controlling acquisition of a plurality of imagedata sets configured of a plurality of pixels disposed in array fashionand having subject distortion due to focal plane shutter effects andcorresponding to a plurality of taken images taken at continuousexposure timings; controlling acquisition, from a coefficient storageunit for storing particular coefficients, of coefficients determined bywhich number-in-order of a plurality of images that the acquired imagedata set corresponds to, and determined by each pixel position in theimage; controlling multiplying of a pixel value of a predetermined pixelin the image data sets by the particular coefficient regarding whichacquisition has been controlled; and controlling adding of each pixelvalue of a predetermined number of the image data sets, including theimage data sets having the pixels which have been multiplied by theparticular coefficients; wherein the particular coefficients stored inthe coefficient storage unit include a coefficient wherein, at the imagedata set taken at the earliest point-in-time of the plurality of imagedata sets subjected to addition, pixels exposed at an earlypoint-in-time are weighted less and pixels exposed at a latepoint-in-time are weighted more, and a coefficient wherein, at the imagedata set taken at the latest point-in-time of the plurality of imagedata sets subjected to addition, pixels exposed at an earlypoint-in-time are weighted more and pixels exposed at a latepoint-in-time are weighted less. The program may be stored in arecording medium.

According to an embodiment of the present invention, a plurality ofimage data sets configured of a plurality of pixels disposed in arrayfashion and having subject distortion due to focal plane shutter effectsand corresponding to a plurality of taken images taken at continuousexposure timings are acquired; coefficients, determined by whichnumber-in-order of a plurality of images that the acquired image dataset corresponds to, and determined by each pixel position in the image,are acquired; a pixel value of a predetermined pixel in the image datasets is multiplied by the particular coefficient that has been acquired;and each pixel value of a predetermined number of the image data sets,including the image data sets having the pixels which have beenmultiplied by the particular coefficients, is added. The particularcoefficients include a coefficient wherein, at the image data set takenat the earliest point-in-time of the image data sets subjected toaddition, pixels exposed at an early point-in-time are weighted less andpixels exposed at a late point-in-time are weighted more, and acoefficient wherein, at the image data set taken at the latestpoint-in-time of the image data sets subjected to addition, pixelsexposed at an early point-in-time are weighted more and pixels exposedat a late point-in-time are weighted less.

The image processing device may be an independent device, or may be ablock of a photography device which performs image processing, or may bea block of an information processing device which performs imageprocessing.

The term “network refers to an arrangement wherein at least two or moredevices are connected such that information can be transferred from onedevice to another device. Devices which perform communication over anetwork may each be an independent device, or may each be internalblocks of a single device.

Also, the term “communication” refers to not only wireless communicationand cable communication, but also communication wherein wirelesscommunication and cable communication coexist, i.e., communicationwherein wireless communication is performed for a section and cablecommunication is performed for another section. Further, this includesarrangements wherein communication from one device to another device isperformed by wire, and communication from the other device to the onedevice is performed by wireless communication.

According to the above-described configuration, images can be corrected,and particularly, a corrected image can be generated of a taken imagehaving subject distortion due to focal plane shutter effects, using aplurality of image data sets having subject distortion due to focalplane shutter effects and corresponding to a plurality of taken imagestaken at continuous exposure timings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagram for describing a CCD;

FIGS. 2A through 2C are diagrams for describing exposure operations of aCCD;

FIG. 3 is a diagram for describing a CMOS image sensor;

FIGS. 4A through 4C are diagrams for describing exposure operations of aCMOS image sensor;

FIG. 5 is a diagram for describing focal plane shutter effects;

FIG. 6 is a diagram for describing focal plane shutter effects;

FIGS. 7A and 7B are diagrams for describing focal plane shutter effects;

FIGS. 8A and 8B are diagrams for describing focal plane shutter effects;

FIG. 9 is a block diagram illustrating the configuration of an imageprocessing device for executing processing for correcting a still image;

FIG. 10 is a diagram for describing correction using multiple image dataframes;

FIG. 11 is a diagram for describing correction using seven image dataframes;

FIG. 12 is a diagram for describing coefficient multiplicationprocessing and addition processing with regard to an image data frame;

FIG. 13 is a diagram for describing coefficient multiplicationprocessing and addition processing with regard to an image data frame;

FIG. 14 is a diagram for describing coefficient multiplicationprocessing and addition processing with regard to an image data frame;

FIG. 15 is a diagram for describing coefficient multiplicationprocessing and addition processing with regard to an image data frame;

FIGS. 16A and 16B are diagrams for describing focal plane shuttereffects;

FIGS. 17A through 17C are diagrams for describing an example of an imagedata frame generated by coefficient multiplication processing;

FIG. 18 is a diagram for describing an example of a corrected image thathas been synthesized and generated;

FIG. 19 is a diagram for describing an example of a corrected image thathas been synthesized and generated;

FIG. 20 is a block diagram illustrating the configuration of astill-photography camera (digital still camera);

FIG. 21 is a flowchart for describing image-taking processing of a stillimage;

FIG. 22 is a flowchart for describing image computation processing 1;

FIG. 23 is a block diagram illustrating the configuration of an imageprocessing device for executing processing for correcting a movingimage;

FIG. 24 is a block diagram illustrating the configuration of amotion-photography camera (digital video camera);

FIG. 25 is a diagram for describing coefficient multiplicationprocessing and addition processing with regard to an image data frame;

FIG. 26 is a diagram for describing coefficient multiplicationprocessing and addition processing with regard to an image data frame;

FIG. 27 is a flowchart for describing image-taking processing of amoving image;

FIG. 28 is a flowchart for describing image computation processing 2;and

FIG. 29 is a block diagram illustrating the configuration of a personalcomputer.

DESCRIPTION OF THE PREFERRED EMBODIMENTS

Before describing an embodiment of the present invention, thecorrespondence between the features of the claims and the specificelements disclosed in an embodiment of the present invention isdiscussed below. This description is intended to assure that anembodiment supporting the claimed invention is described in thisspecification. Thus, even if an element in the following embodiment isnot described as relating to a certain feature of the present invention,that does not necessarily mean that the element does not relate to thatfeature of the claims. Conversely, even if an element is describedherein as relating to a certain feature of the claims, that does notnecessarily mean that the element does not relate to the other featuresof the claims.

An image processing device according to an embodiment of the presentinvention includes: an image acquisition unit (e.g., a pre-processingunit 101 in FIG. 9 or FIG. 23), for acquiring a plurality of image datasets configured of a plurality of pixels disposed in array fashion andhaving subject distortion due to focal plane shutter effects andcorresponding to taken images taken at continuous exposure timings; acoefficient storage unit (e.g., a coefficient storage unit 103 in FIG. 9or FIG. 23) for storing particular coefficients, the coefficients beingdetermined by which number-in-order of a plurality of images that theimage data set, acquired by the image acquisition unit, corresponds to,and determined by each pixel position in the image; a multiplying unit(e.g., a multiplying unit 102 in FIG. 9 or a multiplying unit 233 inFIG. 23) for multiplying a pixel value of a predetermined pixel in theimage data sets, acquired by the image acquisition unit, by theparticular coefficient stored in the coefficient storage unit; and anadding unit (e.g., an adding unit 104 and temporary image storage unit105 in FIG. 9 or an adding unit 234 in FIG. 23) for adding each pixelvalue of a predetermined number of the image data sets, including theimage data sets having the pixels which have been multiplied by theparticular coefficients by the multiplying unit; wherein the particularcoefficients stored in the coefficient storage unit include acoefficient wherein, at the image data set taken at the earliestpoint-in-time of the image data sets subjected to addition by the addingunit, pixels exposed at an early point-in-time (e.g., pixels of thefirst row) are weighted less (e.g., coefficient a=0) and pixels exposedat a late point-in-time (e.g., pixels of the last row) are weighted more(e.g., coefficient a=1), and a coefficient wherein, at the image dataset taken at the latest point-in-time of the image data sets subjectedto addition by the adding unit, pixels exposed at an early point-in-timeare weighted more and pixels exposed at a late point-in-time areweighted less.

The image processing device may further an image-taking unit (e.g., animage-taking unit 91 in FIG. 9 or in FIG. 23) for taking an image of apredetermined subject, with the image acquisition unit being capable ofacquiring the image data sets obtained by being taken by theimage-taking unit. The image-taking unit may have photoelectricconversion functions (e.g., a CMOS image sensor).

The adding unit may further include: a holding unit (e.g., the temporaryimage storage unit 105 in FIG. 9) for temporarily holding an image dataframe; and a pixel value adding unit (e.g., the adding unit 104 in FIG.9) for adding the pixel values of corresponding pixels of one or theother of the image data set having the pixels on which the particularcoefficient has been multiplied by the multiplying unit and the imagedata set acquired by the image acquisition unit, and the image dataframe held in the holding unit; wherein one or the other of the imagedata set taken at the earliest point-in-time of the image data setssubjected to addition by the adding unit and the image data setcalculated by addition of pixel values of corresponding pixels by thepixel adding unit is overwritten on the holding unit so as to be heldtherein.

The image processing device may further include: a plurality of imagedata holding units (e.g., temporary image storage units 232 in FIG. 23)for holding the image data sets acquired by the image acquisition unit;and a selecting unit (e.g., selecting unit 231 in FIG. 23) for selectingwhich of the plurality of image data holding units to supply the imagedata sets acquired by the image acquisition unit to so as to be heldtherein. The number of the multiplying units provided may be the same asthat of the image data holding units, in a corresponding manner, and themultiplying unit may read out the particular coefficient from theparticular coefficients stored in the coefficient storage unit asnecessary, based on the number-in-order of image-taking of the imagedata set held in the corresponding image data holding unit within theplurality of image data sets added by the adding unit, and executemultiplication of the pixel values of predetermined pixels of the imagedata set by the particular coefficient.

The image processing device may further include a signal processing unit(e.g., the pre-processing unit 101 in FIG. 9 or in FIG. 23) foradjusting pixel signals of each of the pixels included in the image dataset acquired by the image acquisition unit, to a desired signal form orsignal level.

The image processing device may further include an operating inputacquisition unit (e.g., a user interface 143 in FIG. 20 or in FIG. 24)for receiving operating input of a user, with the operating inputacquisition unit receiving operating input for setting the predeterminednumber of the image data sets to be added by the adding unit.

The image processing device may further include an operating inputacquisition unit (e.g., the user interface 143 in FIG. 20 or in FIG. 24)for receiving operating input of a user with the operating inputacquisition unit receiving operating input for setting the particularcoefficients stored by the coefficient storage unit.

According to an embodiment of the present invention, an image processingmethod for an image processing device which uses a plurality of imagedata frames to generate a corrected image of a taken image havingsubject distortion due to focal plane shutter effects includes the stepsof: acquiring a plurality of image data sets configured of a pluralityof pixels disposed in array fashion and having subject distortion due tofocal plane shutter effects and corresponding to a plurality of takenimages taken at continuous exposure timings (e.g., the processing ofsteps S41 or S50 in FIG. 22 or step S121 in FIG. 28); acquiring, from acoefficient storage unit (e.g., the coefficient storage unit 103 in FIG.9 or 23) for storing particular coefficients, coefficients determined bywhich number-in-order of a plurality of images that the acquired imagedata set corresponds to, and determined by each pixel position in theimage (e.g., the processing of step S43 in FIG. 22 or step S124 in FIG.28); multiplying of a pixel value of a predetermined pixel in the imagedata sets by the particular coefficient that has been acquired (e.g.,the processing of step S44 in FIG. 22 or step S125 in FIG. 28); andadding of each pixel value of a predetermined number of the image datasets, including the image data sets having the pixels which have beenmultiplied by the particular coefficients (e.g., the processing of stepS47 in FIG. 22 or step S127 in FIG. 28); wherein the particularcoefficients stored in the coefficient storage unit include acoefficient wherein, at the image data set taken at the earliestpoint-in-time of the plurality of image data sets subjected to addition,pixels exposed at an early point-in-time (e.g., pixels of the first row)are weighted less (e.g., coefficient a=0) and pixels exposed at a latepoint-in-time (e.g., pixels of the last row) are weighted more (e.g.,coefficient a=1), and a coefficient wherein, at the image data set takenat the latest point-in-time of the plurality of image data setssubjected to addition, pixels exposed at an early point-in-time areweighted more and pixels exposed at a late point-in-time are weightedless.

According to an embodiment of the present invention, with a program forcausing a computer to execute processing of using a plurality of imagedata frames to generate a corrected image of a taken image havingsubject distortion due to focal plane shutter effects, the processingincludes the steps of: acquiring a plurality of image data setsconfigured of a plurality of pixels disposed in array fashion and havingsubject distortion due to focal plane shutter effects and correspondingto a plurality of taken images taken at continuous exposure timings(e.g., the processing of steps S41 or S50 in FIG. 22 or step S121 inFIG. 28); acquiring, from a coefficient storage unit (e.g., thecoefficient storage unit 103 in FIG. 9 or 23) for storing particularcoefficients, coefficients determined by which number-in-order of aplurality of images that the acquired image data set corresponds to, anddetermined by each pixel position in the image (e.g., the processing ofstep S43 in FIG. 22 or step S124 in FIG. 28); multiplying of a pixelvalue of a predetermined pixel in the image data sets by the particularcoefficient regarding which acquisition has been controlled (e.g., theprocessing of step S44 in FIG. 22 or step S125 in FIG. 28); and addingof each pixel value of a predetermined number of the image data sets,including the image data sets having the pixels which have beenmultiplied by the particular coefficients (e.g., the processing of stepS47 in FIG. 22 or step S127 in FIG. 28); wherein the particularcoefficients stored in the coefficient storage unit include acoefficient wherein, at the image data set taken at the earliestpoint-in-time of the image data sets subjected to addition, pixelsexposed at an early point-in-time (e.g., pixels of the first row) areweighted less (e.g., coefficient a=0) and pixels exposed at a latepoint-in-time (e.g., pixels of the last row) are weighted more (e.g.,coefficient a=1), and a coefficient wherein, at the image data set takenat the latest point-in-time of the image data sets subjected toaddition, pixels exposed at an early point-in-time are weighted more andpixels exposed at a late point-in-time are weighted less.

Now, an embodiment of the present invention will be described withreference to the drawings.

Images taken with a camera having a built-in CMOS image sensor exhibitimage distortion of moving subjects or subjects taken while the camerais moving, due to focal plane shutter effects owing to general focalplane shutter operations, inherent to the structure of the CMOS imagesensor.

To deal with this, a CMOS image sensor capable of high-speedimage-taking is used to take multiple continuous images, pixels in eachof the taken images are multiplied by coefficients corresponding to thepixel positions as necessary, and the these pixel data are added(synthesized), thereby generating a corrected image whereby imagedistortion occurring due to focal plane shutter effects is alleviated,and providing good images and video which are more agreeable to view.

Multiple continuous images that have been taken with a CMOS image sensorcapable of high-speed readout, e.g., four times that of normalphotography, are used, with image processing being performed at an imageprocessing device configured of image memory, a processor, etc., therebyreducing distortion in the shape of the subject in taken images,occurring due to focal plane shutter effects. This technique will bedescribed below.

FIG. 9 is a block diagram illustrating the configuration of an imageprocessing device 81 which performs such image processing. The imageprocessing device 81 is arranged so as to be able to obtain a stillimage wherein image distortion due to focal plane shutter effects havebeen corrected, based on multiple frames of taken images.

The image processing device 81 is configured of an image-taking unit 91and image processing unit 92. The image-taking unit 91 is configured ofoptical elements such as lenses and the like, and an image-taking devicehaving a configuration wherein the above-described focal plane shuttereffects occur. The image-taking device may be a solid-state image-takingdevice wherein photoreceptor elements corresponding to pixels havingphotoelectric conversion functions are disposed in array fashion. Anexample is an XY address-type imaging device.

An XY address-type imaging device is a sensor employing a readout formatwherein the address (position) of each pixel is specified, so as to readout each pixel data. That is to say, unlike a image-taking device formatwherein data is sequentially transferred from each pixel as with a CCD,this arrangement involves charges stored in photodiodes or the likebeing read out.

XY address-type imaging devices are not restricted to the CMOS imagesensor described with reference to FIGS. 3 and 4. Other examples includeLBCAST (Lateral Buried Charge Accumulator and Sensing Transistor array)and Stacked-AMI (Stacked Amplified MOS intelligent Imager), which havecell amplifiers for readout provided to each pixel, as with a CMOS imagesensor. While amplifiers used with CMOS image sensors are MOSFETs (MetalOxide Semiconductor Field Effect Transistors), LBCASTs use JFETs(Junction Field Effect Transistors).

The image-taking unit 91 is capable of taking continuous images at aframe rate faster than the shutter speed of normal digital still cameras(e.g., 1/60 seconds), around four times as fast for example (e.g., 1/240seconds). Image signals taken by the image-taking unit 91 have differentexposure timings for each row, as described above. Note that even at aframe rate of four times the shutter speed of normal digital stillcameras, distortion occurs in taken images due to focal plane shuttereffects, in cases of taking subjects moving at high speeds as describedwith FIG. 7, or cases of moving the camera quickly (panning) asdescribed with FIG. 8, for example.

Image signals taken by the image-taking unit 91 are supplied to theimage processing unit 92. It is needless to say that the imageprocessing unit 92 can acquire and process image data recorded inanother device.

In the event of acquiring and processing image data recorded in anotherdevice, the acquired image data is a group of images in a series, takencontinuously. The group of images in a series may either be so calledRAW format data which has been taken by an image-taking device like theimage-taking device used in the image-taking unit 91 and with the imagesignals thereof remaining unprocessed, i.e., simply digitized electricsignals obtained form the image-taking device, or may be image datawhich is obtained by the RAW format data having been subjected toprocessing so as to be viewable as an image.

The image processing unit 92 is configured of a pre-processing unit 101,multiplying unit 102, coefficient storage unit 103, adding unit 104, andtemporary image storage unit 105.

The pre-processing unit 101 is for executing processing for putting eachpixel signal into a desired signal form and signal level. For example,in the event that the pixel signals input from the image-taking unit 91or another unshown device are analog signals, the input pixel signalsare converted from analog signals into digital signals, and supplied topthe multiplying unit 102. Also, in the event that the pixel signalsinput from the image-taking unit 91 or another unshown device are RAWformat data wherein the electric signals obtained for the image-takingdevice have only been digitized, the pre-processing unit 101 sets ablack level for the signal processing system based on the pixel signallevel of a shielded portion of the image-taking device or the like,executes interpolation processing wherein the signal levels of dropoutpixels not performing correct signal output are interpolated usingsurrounding normal pixel signal levels, and supplies the image dataconfigured of the post-interpolation pixel signals to the multiplyingunit 102. Also, in the event that the pixel signals input from anotherunshown device for example are data in a displayable state, thepre-processing unit 101 subjects the input pixel signals to processingfor converting into signals having the same brightness signal curve(brightness signal properties) as RAW format data by inverse gammaconversion, and then sets a black level for the signal processing systembased on the pixel signal level of a shielded portion of theimage-taking device or the like, executes interpolation processingwherein the signal levels of any dropout pixels not performing correctsignal output are interpolated using surrounding normal pixel signallevels, and supplies the image data configured of the post-interpolationpixel signals to the multiplying unit 102.

The multiplying unit 102 multiplies, of the pixel signals supplied fromthe pre-processing unit 101, predetermined pixel signals, bypredetermined coefficients stored in the coefficient storage unit 103,and supplies to the adding unit 104. The multiplying unit 102 suppliespixel signals to subjected to multiplication processing to the addingunit 104 without change. The coefficient storage unit 103 storescoefficients used at the multiplying unit 102. Details of themultiplication processing performed at the multiplying unit 102 and thecoefficients thereof will be described later.

In the event that data has not been stored in the temporary imagestorage unit 105 yet, the adding unit 104 supplies one frame of pixelsignals supplied form the multiplying unit 102 to the temporary imagestorage unit 105. On the other hand, in the event that there are imagesignals stored in the temporary image storage unit 105, the one frame ofpixel signals supplied form the multiplying unit 102 and the imagesignals stored in the temporary image storage unit 105 are synthesized,and the image signals generated by this synthesizing are either suppliedto the temporary image storage unit 105, or externally output. That isto say, the adding unit 104 adds multiple image data frames (at least apart thereof being image data frames subjected to multiplicationprocessing by the multiplying unit 102), and externally outputs theaddition results. Details of the addition processing by the adding unit104 will be described later. The temporary image storage unit 105temporarily stores the one frame of image signals supplied from theadding unit 104.

Next, multiplication processing by the multiplying unit 102 and additionprocessing by the adding unit 104 will be described with reference toFIG. 10.

The image processing device 81 uses k frames (wherein k is an integer of2 or greater) of taken images wherein focal plane shutter effects haveoccurred, i.e., wherein the exposure time differs for each row in thetaken images, and can perform compensation so as to yield an image closeto a taken image obtained by global shutter operations, i.e., a takenimage wherein the exposure time of each pixel included in one frame isthe same.

That is to say, at the image processing device 81, corrected imagesassuming a case of exposure with global shutter operations are generated(the section α in FIG. 10, shown as the hatched region) corresponding tothe series of continuously-shot images, i.e., F1, F2, and so on throughF(k−1) and Fk. In each of these continuously-shot images, the exposuretiming is off by one pixel between the top portion and bottom portion ofthe image, due to the focal plane shutter effects.

Specifically, as described above, with each of the taken image dataframes, the exposure timing is off by one pixel between the top portionand bottom portion of the image, so in the first image data frame F1,coefficients are obtained such that the higher in the image, the lesscontribution there is to computation, and conversely, the lower in theimage, the greater contribution there is to computation. Also, with thefinal image data frame Fk, coefficients are obtained such that thehigher in the image, the more contribution there is to computation, andconversely, the lower in the image, the less contribution there is tocomputation.

Now, if we say that there are M rows of pixels in the entire image(i.e., that the vertical number of pixels is M pixels), the coefficient“a” multiplied on each pixel value of each row in the first image dataframe F1 may be such that, for example, coefficient a=0 for the pixelsof the first row, coefficient a=1/M for the pixels of the next row,coefficient a=2/M for the pixels of the next row, and so on, with thecoefficient being incremented by 1/M, such that at the final row, thecoefficient is (M−1)/M=1. The coefficient a corresponding to therespective rows is multiplied on the pixel value of each pixel of eachrow in the first image data frame F1. That is to say, due tomultiplication processing being performed on the first image data frameF1, an image data frame can be obtained which is lighter toward theleading row and closer to normal concentration closer to the last row.

The pixels in the image data frames from the second image data frame F2to the second-from-last image data frame F(k−1) are not subjected tomultiplication by the coefficients. The pixel values of each row in thefinal image data frame Fk are multiplied by the coefficient (1−a). Thatis to say, multiplication processing is performed on the last image dataframe Fk such that image frame data can be obtained which is closer tonormal concentration toward the leading row and lighter closer to thelast row.

Thus, following coefficients being multiplied in accordance with thenumber-in-order of each of the taken image data frames and the pixelpositions therein, the pixel values of the pixels of the K image dataframes are each added.

The obtained synthesized image data frames aF1+F2+ . . . F(k−1)+(1−a)Fkserve as corrected images assuming a case of exposure with globalshutter operations, as shown in the section α in FIG. 10.

Now, the greater the number of images that are synthesized, the morecorrected the distortion of the subjected in the image data generated bysynthesizing appears. However, the greater the number of images that aresynthesized, there is so-called blurring in images of moving subjects(or subjects which appear to move in the screen due to the cameramoving). This blurring can be suppressed well by raising the frame rateas much as possible when taking the images to be synthesized. Forexample, the blurring occurring in a corrected image obtained in a caseof using three image data frames taken at a frame rate three times theshutter speed of a normal digital camera and performing synthesizingprocessing is approximately equivalent to the blurring occurring in anormal digital still camera.

Also, whether a better taken image can be obtained by improving theprecision of blurring of the subject or by suppressing blurring dependson shooting conditions, such as the type of subject to be taken, howfast it is moving, how fast the camera is panned, and so forth.Accordingly, it is desirable to have an arrangement wherein the numberof image data frames to be synthesized can be set by the user.

Now, with regard to the coefficient “a”, saying that there are M rows ofpixels in the entire image (i.e., that the vertical number of pixels isM pixels), description has been made regarding an arrangement whereinthe coefficient “a” applied to the pixels of the first row iscoefficient a=0, coefficient a=1/M for the pixels of the next row,coefficient a=2/M for the pixels of the next row, and so on, with thecoefficient being incremented by 1/M, such that at the final row, thecoefficient is (M−1)/M=1; however, the present embodiment is by no meansrestricted to this arrangement, and it is clearly understood that othercoefficient appropriation methods can be applied as long as the firstrow is assigned a small value, i.e., a value close to 0, and the finalrow is assigned a great value, i.e., a value close to 1. The coefficientcan be suitably set depending on the speed of motion of the subject, thespeed of motion of the camera, the shutter speed, and the frame rate.

FIG. 11 illustrates a specific example wherein k=7. The coefficient acorresponding to the respective rows is multiplied on each pixel of eachrow in the first image data frame F1. That is to say, due tomultiplication processing being performed on the first image data frameF1, an image data frame can be obtained which is lighter toward theleading row and closer to normal concentration closer to the last row.

The pixels in the image data frames from the second image data frame F2to the second-from-last image data frame F6 are not subjected tomultiplication by the coefficients. The pixel values of each row in thefinal image data frame F7 are multiplied by the coefficient (1−a). Thatis to say, multiplication processing is performed on the last image dataframe F7 such that image frame data can be obtained which is closer tonormal concentration toward the leading row and lighter closer to thelast row.

Thus, coefficients are multiplied depending on the number-in-order ofthe taken image data frame, and the pixel position therein, followingwhich the pixel values of each of the pixels of the seven image dataframes are added.

The obtained synthesized image data frames aF1+F2+ . . . F6+(1−a)F7serve as corrected images assuming a case of exposure with globalshutter operations, as shown in the section β in FIG. 11.

Next, the flow of computation and signal processing in a case wherein acorrected image is generated using k sets of frame image data, withreference to FIG. 12.

The coefficient storage unit 103 stores the coefficient a to bemultiplied on each row of the first frame to be synthesized, and thecoefficient (1−a) to be multiplied on each row of the last frame to besynthesized.

Now, as described with reference to FIG. 10, saying that there are Mrows of pixels in the entire image (i.e., that the vertical number ofpixels is M pixels), an arrangement may be made wherein, for example,the coefficient a applied to the pixels of the first row is coefficienta=0, coefficient a=1/M for the pixels of the next row, coefficient a=2/Mfor the pixels of the next row, and so on, with the coefficient beingincremented by 1/M, such that at the final row, the coefficient is(M−1)/M=1, or another coefficient appropriation method can be appliedwherein the first row is assigned a small value, i.e., a value close to0, and the final row is assigned a great value, i.e., a value close to1.

Upon the first image data frame F1 being input to the multiplying unit102, the multiplying unit 102 reads out the coefficient a set for eachrow that is stored in the coefficient storage unit 103, and multipliesthis on the pixel values of the pixels of each row of the image dataframe F1. The obtained image data frame aF1 is supplied to the temporaryimage storage unit 105 via the multiplying unit 104 (though nomultiplication processing is performed by the multiplying unit 104), andstored.

Upon the second image data frame F2 being input to the multiplying unit102, the multiplying unit 102 performs no multiplication processing, butaddition processing (addition processing of each of the pixel values) isperformed at the adding unit 104 of the image data frame F2 with theimage data frame aF1 stored in the temporary image storage unit 105,thereby generating an image data frame aF1+F2, which is the additionresults. The generated image data frame aF1+F2 is supplied to thetemporary image storage unit 105 and stored.

The same processing as with the second image data frame F2 is performedfor the third image data frame F3 through the second-from-last imagedata frame F(k−1), so that the image data frame aF1+F2 . . . F(k−1) issupplied to the temporary image storage unit 105 and stored.

Upon the last, i.e., k'th image data frame Fk being input to themultiplying unit 102, the multiplying unit 102 reads out the coefficient(1−a) set for each row that is stored in the coefficient storage unit103, and multiplies the pixel values of the pixels of each row of theimage data frame Fk. The obtained image data frame (1−a)Fk is suppliedto the multiplying unit 104, where addition processing (additionprocessing of each of the pixel values) is performed with the image dataframe aF1+F2 . . . F(k−1) stored in the temporary image storage unit105, thereby generating an image data frame aF1+F2 . . . F(k−1)+(1−a)Fk,which serves as the corrected image.

Thus, a corrected image assuming a taken image taken with global shutteroperations of an exposure time as shown as the section α in FIG. 10,indicated by hatching, i.e., a synthesized image corrected such that theexposure timing is closer between the top and bottom of the image, canbe obtained.

FIG. 13 illustrates a specific example of the flow of computation andsignal processing in a case wherein a corrected image is generated using7 sets of frame image data (k=7).

Upon the first image data frame F1 being input to the multiplying unit102, the multiplying unit 102 reads out the coefficient a set for eachrow that is stored in the coefficient storage unit 103, and multiplieseach row of the image data frame F1. The obtained image data frame aF1is supplied to the temporary image storage unit 105 via the multiplyingunit 104 and stored.

Upon the second image data frame F2 through sixth image data frame F6being input to the multiplying unit 102, the multiplying unit 102performs no multiplication processing, but addition processing (additionprocessing of each of the pixel values) is performed at the adding unit104 with the image data frame stored in the temporary image storage unit105, thereby generating an image data frame aF1+F2+F3+F4+F5+F6 at theend of addition of the sixth image data frame F6. The generated imagedata frame aF1+F2+F3+F4+F5+F6 is supplied to the temporary image storageunit 105 and stored.

Upon the seventh and last image data frame F7 being input to themultiplying unit 102, the multiplying unit 102 reads out the coefficient(1−a) set for each row that is stored in the coefficient storage unit103, and multiplies each row of the image data frame F7. The obtainedimage data frame (1−a)F7 is supplied to the multiplying unit 104, whereaddition processing (addition processing of each of the pixel values) isperformed with the image data frame aF1+F2+F3+F4+F5+F6 stored in thetemporary image storage unit 105, thereby generating an image data frameaF1+F2+F3+F4+F5+F6+(1−a)F7, which serves as the corrected image.

Next, the processing that is executed by each of the units describedwith reference to FIG. 12 will be described in time-sequence withreference to FIG. 14.

While the first image data frame F1 is being output from thepre-processing unit 101, the coefficient a that is stored in thecoefficient storage unit 103 is read out, the coefficient a ismultiplied on each row of the image data frame F1 at the multiplyingunit 102, and the obtained image data frame aF1 is supplied to thetemporary image storage unit 105 via the adding unit 104 (though noadding processing is performed by the adding unit 104), and stored.

While the second image data frame F2 is being output from thepre-processing unit 101, no coefficient is read out from the coefficientstorage unit 103 and the multiplying unit 102 performs no multiplicationprocessing, but the image data frame aF1 stored in the temporary imagestorage unit 105 is read out to the adding unit 104 and additionprocessing (addition processing of each of the pixel values of thepixels) is performed at the adding unit 104 between the image data frameaF1 and the image data frame F2, with the generated image data frameaF1+F2 being supplied to the temporary image storage unit 105 andstored.

In the same way as the second image data frame F2 being output from thepre-processing unit 101, while the third image data frame F3 throughK−1'th image data frame F(k−1) are being output from the pre-processingunit 101, no coefficient is read out from the coefficient storage unit103 and the multiplying unit 102 performs no multiplication processing,but the image data frame stored in the temporary image storage unit 105is read out to the adding unit 104 and addition processing (additionprocessing of each of the pixel values) is performed at the adding unit104 between the image data frame read out from the temporary imagestorage unit 105 and the image data frame that is newly supplied, withthe generated image data frame being supplied to the temporary imagestorage unit 105 and stored.

Upon the k'th image data frame Fk being output from the pre-processingunit 101, out the coefficient (1−a) is read out from the coefficientstorage unit 103, the multiplying unit 102 multiplies each correspondingpixel of the image data frame Fk with the coefficient (1−a), and animage data frame (1−a)Fk is obtained. The image data frame aF1+F2 . . .F(k−1) stored in the temporary image storage unit 105 is read out to theadding unit 104, where addition processing (addition processing of eachof the pixel values) is performed between the image data frame aF1+F2 .. . F(k−1) and the image data frame (1−a)Fk, so the obtained image dataframe aF1+F2 . . . F(k−1)+(1−a)Fk is output from the adding unit 104 ascorrected image data.

Note that while the example described above is an example wherein onlythe temporally first image data frame F1 and last image data frame Fk ofthe images to be synthesized are multiplied by the coefficients, it isneedless to say that the present embodiment is not restricted to thisarrangement, and that arrangements may be made wherein three or moreoptional image data frames, or all image data frames for that matter,are multiplied by optionally set coefficients, as necessary, so as tocarry out correction processing different from that described above.

In such an arrangement wherein three or more optional image data frames,or all image data frames, are multiplied by optionally set coefficients,a desirable setting is to have the coefficients to be multiplied on eachof the image data frames to be smaller at the leading row and greater atthe last row closer to the first image data frame, and to be greater atthe leading row and smaller at the last row closer to the last imagedata frame.

Specifically, in the event that optional coefficients are to be set forall image data frames for example, an arrangement may be made in a casewherein synthesizing processing is to be performed using (2X+1) sets ofimage data with each image data frame having M rows of pixels (i.e., thevertical number of pixels is M pixels), such that coefficient (1/M)(k/X)is assigned to pixels of the first row for the k image data frames fromthe first image data frame to the X'th image data frame, coefficient(2/M)(k/X) to the next row of pixels therein, coefficient (3/M)(k/X) tothe next row of pixels therein, and so on, so that the coefficient isincremented by (1/M)(k/M) toward the final row, with a coefficient(M−1)/M(k/X) for the last row, and such that no coefficient ismultiplied at the X+1'th image (i.e., each row is multiplied by acoefficient 1), and such that coefficient (1/M)(2X+2−k)/X is assigned topixels of the last row for the k image data frames from the X+2'th imagedata frame to the 2X+1'th image data frame, coefficient (2/M)(2X+2−k)/Xto the row of pixels one before the last row, coefficient(3/M)(2X+2−k)/X to the preceding row of pixels therein, and so on, sothat the coefficient is incremented by (1/M)(2X+2−k)/X toward the firstrow, with a coefficient (M−1)/M(2X+2−k)/X for the last row.

Also, these coefficients may be made settable by the user, so as to besuitably set depending on the speed of motion of the subject, the speedof motion of the camera, the shutter speed, and the frame rate.

The processing that is executed by each of the units described withreference to FIG. 12 in an arrangement wherein the coefficients set foreach row to be multiplied on each synthesizing image data frame are a1,a2, a3, and so on through ak, will be described in time-sequence withreference to FIG. 15.

While the first image data frame F1 is being output from thepre-processing unit 101, the coefficient a1 is read out from thecoefficient storage unit 103, the coefficient a1 is multiplied on eachcorresponding pixel of the image data frame F1 at the multiplying unit102, and the obtained image data frame a1×F1 is supplied to thetemporary image storage unit 105 via the multiplying unit 104 (though nomultiplication processing is performed by the multiplying unit 104), andstored.

While the second image data frame F2 is being output from thepre-processing unit 101, the coefficient a2 is read out from thecoefficient storage unit 103, the coefficient a2 is multiplied on eachcorresponding pixel of the image data frame F2 at the multiplying unit102, the obtained image data frame a2×F2 is subjected to additionprocessing (addition processing of each of the pixel values) at theadding unit 104 with the image data frame a2×F2 stored in the temporaryimage storage unit 105, with the generated image data frame a1×F1+a2×F2being supplied to the temporary image storage unit 105 and stored.

In the same way as the second image data frame F2 being output from thepre-processing unit 101, while the third image data frame F3 throughk−1'th image data frame F(k−1) are being output from the pre-processingunit 101, the corresponding coefficient (the corresponding coefficientfrom coefficient a3 through coefficient a(k−1)) is read out from thecoefficient storage unit 103, the coefficient which has been read out ismultiplied on each corresponding pixel of the image data frame (thecorresponding image data from of image data frame F3 through k−1'thimage data frame F(k−1)) supplied from the pre-processing unit 101 atthe multiplying unit 102, the obtained image data frame is subjected toaddition processing (addition processing of each of the pixel values) atthe adding unit 104 with the image data frame stored in the temporaryimage storage unit 105, with the generated image data frame beingsupplied to the temporary image storage unit 105 and stored.

Upon the k'th image data frame Fk being output from the pre-processingunit 101, the coefficient ak is read out from the coefficient storageunit 103, the multiplying unit 102 multiplies each corresponding pixelof the image data frame Fk with the coefficient ak, and an image dataframe ak×Fk is obtained. The image data frame a1×F1+a2×F2 . . .a(k−1)×F(k−1) stored in the temporary image storage unit 105 is read outto the adding unit 104, where addition processing (addition processingof each of the pixel values) is performed between the image data framea1×F1+a2×F2 . . . a(k−1)×F(k−1) and the image data frame ak×Fk, so theobtained image data frame a1×F1+a2×F2 . . . a(k−1)×F(k−1)+ak×Fk isoutput from the adding unit 104 as corrected image data.

A synthesized image thus obtained will be described with reference toFIGS. 16A through 19. For example, in the event of taking a subjectmoving toward the right in the image screen as shown in FIG. 16A, with afocal plane shutter operation wherein the lower side of the image isdelayed regarding exposure point-in-time as compared to the top of theimage, the subject itself is photographed in a distorted manner due toexposure point-in-time offset at each row, as shown in FIG. 16B.

A synthesized image obtained by image synthesizing performed in a caseof obtaining three images taken continuously of such a subject andperforming the image processing such as described above, i.e., anobtained corrected image, will be described with reference to FIG. 17Athrough FIG. 18.

At the first image, a value close to 0 is set as the coefficient to bemultiplied on each pixel of the upper rows in the image of which theexposure point-in-time is earlier, with the value of the coefficientbecoming greater lower in the rows, and the coefficient to be multipliedon each pixel of the bottom row is a value close to 1, so as shown inFIG. 17A, the image data frame obtained following coefficientmultiplication is light in concentration at the upper side of the image,and is dark in concentration at the lower side of the image.

At the second image, no coefficient is multiplied to the pixels, i.e.,all pixels are multiplied by a coefficient of 1, so as shown in FIG.17B, a normal distorted image data frame taken by focal plane operationsis obtained.

At the third and last image, a value close to 1 is set as thecoefficient to be multiplied on each pixel of the upper rows in theimage of which the exposure point-in-time is earlier, with the value ofthe coefficient becoming smaller lower in the rows, and the coefficientto be multiplied on each pixel of the bottom row is a value close to 0,so as shown in FIG. 17C, the image data frame obtained followingcoefficient calculation is dark in concentration at the upper side ofthe image, and is light in concentration at the lower side of the image.

Synthesizing these three image data frames obtains a synthesized imagesuch as shown in FIG. 18. The distortion in this image appears to havebeen corrected, as compared with the image shown in FIG. 16B.

Also, performing the above-described synthesizing processing on theimage obtained by photographing the rotating blades described with FIG.7 for example, enables a synthesized image to be obtained wherein thedistortion of the blades appears to have been corrected, as shown inFIG. 19, for example.

Now, a configuration example of a still image photography camera(digital still camera) 131 to which the image processing device 81described above has been applied, is shown in FIG. 20.

The still image photography camera 131 is provided with an image-takingunit 91 and image-processing unit 92 in the same way as with the imageprocessing device 81, and also has a controller 141, memory 142, a userinterface 143, a picture signal processing unit 144, an imagecompressing unit 145, a display unit 146, an external interface 147, alarge-capacity storage unit 148, a control signal bus 151, and an imagedata bus 152.

The controller 141 controls operations of the units of the still imagephotography camera 131, based on operating input of the user, suppliedform the user interface 143. The controller 141 is connected to each ofthe units via the control signal bus 151. The memory 142 storesinformation necessary for the processing which the controller 141 is toexecute. The user interface 143 receives operating input from the user,which is supplied to the controller 141 via the control signal bus 151,and also includes a display unit for notifying the user of parametersset for the still image photography camera 131, and so forth.

The picture signal processing unit 144 receives corrected image dataframes subjected to the above-described synthesizing processing, outputfrom the image processing unit 92, based on control of the controller141, and performs predetermined processing necessary for display orstorage, such as gamma conversion for example. The image compressingunit 145 compresses the image data frame that has been subjected to thepredetermined processing at the picture signal processing unit 144, forexternal output or storage in the large-capacity storage unit 148, basedon control of the controller 141. The display unit 146 is supplied withand displays the image data frame, based on control of the controller141.

The external interface 147 externally outputs data that has beenprocessed at the picture signal processing unit 144, compressed byprocessing at the image compressing unit 145, or stored in thelarge-capacity storage unit 148, based on control of the controller 141.Also, the external interface 147 acquires data supplied from externaldevices, supplies the acquired data to the picture signal processingunit 144 for signal processing, to the image compressing unit 145 forcompression, to the large-capacity storage unit 148 for internalstorage, or to the image processing unit 92 for the above-describedcorrection processing (synthesizing processing). The large-capacitystorage unit 148 stores the data supplied thereto.

The control signal bus 151 is used for exchanging control signalsgenerated at the controller 141, responses from the respective units tobe supplied to the controller 141, and so forth. The image data bus 152is used for exchanging image data before various types of processing areperformed, of following various types of processing having beenperformed.

Next, the operations of the still image photography camera 131 will bedescribed.

In the event that the user has instructed taking of an image, theimage-taking unit 91 consecutively takes multiple images, and suppliesthese to the image processing unit 92. As described above, the imageprocessing unit 92 performs predetermined coefficient multiplicationprocessing and synthesizing processing on the multiple image data framessupplied thereto, generates a corrected image wherein distortion of thesubject generated by focal lane shutter effects has been corrected, andsupplies this to the picture signal processing unit 144.

The picture signal processing unit 144 receives the image data framewhich has been corrected, i.e., subjected to the above-describedsynthesizing processing, from the image processing unit 92, and based oncontrol of the controller 141 supplied via the control signal bus 151,performs necessary predetermined processing such as gamma conversion forexample, and supplies the image data frame to the display unit 146 viathe image data bus 152. The display unit 146 displays the supplied imagedata frame.

In the event that the user, who has viewed the displayed image dataframe, instructs saving of the image, the image data frame subjected tothe above-described synthesizing processing is compressed as necessaryat the image compressing unit 145, and is supplied to and saved at thelarge-capacity storage unit 148 via the image data bus 152. Also, in theevent that the user instructs external output of the image, the imagedata frame subjected to the above-described synthesizing processing iscompressed as necessary at the image compressing unit 145, and issupplied via the image data bus 152 to the external interface 147 and issupplied to an external device.

Next, image-taking processing for still images performed by the stillimage photography camera 131 will be described with reference to theflowchart in FIG. 21.

In step S1, the controller 141 determines whether or not taking of astill image has been instructed. In the event that determination is madein step S1 that taking of a still image has been instructed, the flowadvances to the later-described step S6.

In the event that determination is made in step S1 that taking of astill image has not been instructed, the flow advances to step S2, wherethe controller 141 determines whether or not the user has instructedchanging of the number of synthesizing frames, based on signals suppliedfrom the user interface 143.

In the event that determination is made in step S2 that the user hasinstructed changing of the number of synthesizing frames, in step S3 thecontroller 141 generates a control signal for changing the settings ofthe number of synthesizing frames based on signals supplied from theuser interface 143, and supplies to the image processing unit 92 andimage-taking unit 91 via the control signal bus 151. Settings for thenumber of synthesizing frames are changed at the image processing unit92 and image-taking unit 91.

In the event that determination is made in step S2 that the user has notinstructed changing of the number of synthesizing frames, or in theevent that processing of step S3 has been completed, the flow proceedsto step S4, where the controller 141 determines whether or not the userhas instructed changing of settings of coefficients used formultiplication processing for image correction, based on signalssupplied from the user interface 143.

In the event that determination is made in step S4 that the user hasinstructed changing of settings of coefficients, in step S5 thecontroller 141 generates a control signal for changing the settings ofthe coefficients based on signals supplied from the user interface 143,and supplies to the image processing unit 92 via the control signal bus151. The image processing unit 92 changes the coefficient settings, andthe processing ends. Note that the coefficients can be suitably setaccording to the depending on the speed of motion of the subject, thespeed of motion of the camera, the shutter speed, and the frame rate.

In the event that determination is made in step S1 that taking of astill image has been instructed, in step S6 the image-taking unit 91 andimage processing unit 92 obtain settings regarding the number ofsynthesizing frames.

In step S7, the image processing unit 92 obtains coefficient settings.

In step S8, the image-taking unit 91 executes image-taking of apredetermined number of frames, and supplies the image data of the takenpredetermined number of frames to the image processing unit 92.

In step S9, Image Computation Processing 1, described later withreference to FIG. 22, is performed.

In step S10, the controller 141 controls supply to the display unit 146of the computation results obtained by the image computation processingexecuted in step S9 that are output from the image processing unit 92,i.e., the corrected image, subjected to processing at the picture signalprocessing unit 144 as necessary.

In step S11, the controller 141 determines whether or not the user hasinstructed storage of computation results, based on the signals suppliedfrom the user interface 143.

In step S11, in the event that determination is made that the user hasinstructed storage of computation results, in step S12 the controller141 supplies the computation results to the image compressing unit 145for compression processing if necessary, and then supplies to thelarge-capacity storage unit 148. The large-capacity storage unit 148stores the supplied computation results.

In step S11, in the event that determination is made that the user hasnot instructed storage of computation results, or following completionof the processing of step S12, the flow proceeds to step S13, where thecontroller 141 determines whether or not the user has instructedexternal output of computation results, based on the signals suppliedfrom the user interface 143. In the event that determination is madethat the user has not instructed external output of computation results,the processing ends.

In step S13, in the event that determination is made that the user hasinstructed external output of computation results, in step S14 thecontroller 141 supplies the computation results to the image compressingunit 145 for compression processing if necessary, and then supplies tothe external interface 147. The external interface 147 outputs thecomputation results supplied thereto to an external device, and theprocessing ends.

Due to such processing, image data which has been taken and corrected isdisplayed, and is internally stored or output to external devices basedon input user operations.

Next, the Image Computation Processing 1 performed in step S9 in FIG. 21will be described with reference to the flowchart in FIG. 22.

In step S41, the pre-processing unit 101 supplies the first frame oftaken image data to the multiplying unit 102. The multiplying unit 102acquires the first frame of taken image data.

In step S42, the multiplying unit 102 determines whether or not thesupplied frame is a frame wherein coefficient multiplication processingis to be preformed for each row. In the event that determination is madein step S42 that the supplied frame is not a frame wherein coefficientmultiplication processing is to be preformed for each row, theprocessing advances to the later-described step S45.

In the event that determination is made in step S42 that the suppliedframe is a frame wherein coefficient multiplication processing is to bepreformed for each row, in step S43 the multiplying unit 102 obtainscorresponding coefficients stored in the coefficient storage unit 103.

In step S44, the multiplying unit 102 multiplies the pixel data of eachrow by the corresponding coefficients. As a result, a data frame such asdescribed with FIG. 17A or 17C is generated, for example.

In the event that determination is made in step S42 that the suppliedframe is not a frame wherein coefficient multiplication processing is tobe preformed for each row, or following the processing in step S44, theflow proceeds to step S45, where the adding unit 104 receives supply ofthe data frame from the multiplying unit 102, and determination is maderegarding whether or not a previous frame or addition results exist inthe temporary image storage unit 105.

Specifically, in the event that the adding unit 104 receives supply of adata frame corresponding to the first frame from the multiplying unit102, there is no data frame present in the temporary image storage unit105. In the event that the adding unit 104 receives supply of a dataframe corresponding to the second frame from the multiplying unit 102,there is a data frame present in the temporary image storage unit 105,which corresponds to the first frame (multiplied by predeterminedcoefficients as necessary). In the event that the adding unit 104receives supply of a data frame corresponding to the third frame fromthe multiplying unit 102, there is in the temporary image storage unit105 the addition results of past image data frames which have been addedby the adding unit 104.

In the event that determination is made in step S45 that neither aprevious frame nor addition results exists in the temporary imagestorage unit 105, in step S46 the adding unit 104 supplies the data ofthe frame to the temporary image storage unit 105 without change. Thetemporary image storage unit 105 temporarily stores the image data framesupplied thereto, and the flow advances to the later-described step S50.

In the event that determination is made in step S45 that either aprevious frame or addition results exists in the temporary image storageunit 105, in step S47 the adding unit 104 executes addition processingof the pixels between the current frame supplied from the multiplyingunit 102 (the frame data may have been multiplied by predeterminedcoefficients as necessary, or may not) and the previous frame oraddition results in the temporary image storage unit 105.

In step S48, the adding unit 104 determines whether the current framesupplied from the multiplying unit 102, which has been subjected to theadding processing, is the final frame of the multiple image data framessynthesized for performing correction.

In the event that determination is made in step S48 that the currentframe is not the final frame, in step S49 the adding unit 104 suppliesthe addition results to the temporary image storage unit 105. Thetemporary image storage unit 105 temporarily stores the image data framesupplied thereto.

Following the processing of step S46 or step S49, in step S50 thepre-processing unit 101 supplies taken image data of the next frame tothe multiplying unit 102. The multiplying unit 102 acquires the nextframe of taken image data, and the flow returns to step S42, where thesubsequent processing is repeated.

In the event that determination is made in step S48 that the currentframe is the final frame, in step S51 the adding unit 104 outputs theaddition results, and the flow returns to step S9 in FIG. 21, andproceeds to step S10.

Due to such processing, multiplying predetermined coefficients asnecessary on multiple continuous taken images taken which have adistorted subject owing to focal plane shutter effects generates imagedata frames used for generating a corrected image as described withFIGS. 17A through 17C, and synthesizing these yields image data whereinsubject distortion occurring due to focal plane shutter effects appearsto have been corrected, as described with reference to FIG. 18, forexample.

Now, the greater the number of images that are synthesized, the morecorrected the distortion of the subjected in the image data generated bysynthesizing appears. However, the greater the number of images that aresynthesized, there is so-called blurring in images of moving subjects(or subjects which appear to move in the screen due to the cameramoving). This blurring can be suppressed well by raising the frame rateas much as possible when taking the images to be synthesized. Forexample, the blurring occurring in a corrected image obtained in a caseof using three image data frames taken at a frame rate three times theshutter speed of a normal digital still camera and performingsynthesizing processing is approximately equivalent to the blurringoccurring in a normal digital still camera.

Note that while FIGS. 21 and 22 describe the processing executed in thestill image photography camera 131 described with FIG. 20, processingperformed in the image processing device 81 described with FIG. 9 isbasically the same processing as the Image Computation Processing 1described with FIG. 22.

Next, a device and processing for correcting subject distortionsimilarly occurring in moving images due to focal plane shutter effectswill be described.

Video images can be displayed by consecutively displaying image dataframes, so subject distortion occurring in moving images due to focalplane shutter effects in the same way as with still images can becorrected by applying the above-described case of still images so as tocorrect each frame making up the moving images. That is to say, if amoving image can be displayed as a continuation of corrected image data,generated by the multiple continuous taken images taken with distortedsubjects due to focal plane shutter effects having been multiplied bypredetermined coefficients as necessary as described with reference toFIGS. 17A through 18, distortion of subjects due to focal plane shuttereffects can be corrected with cases of taking moving images, as well.

FIG. 23 is a block diagram illustrating the configuration of an imageprocessing device 201 for correcting subject distortion due to focalplane shutter effects in cases of taking moving images.

Note that the components which correspond to those in FIG. 9 are denotedwith the same reference numerals, and description thereof will beomitted as appropriate.

The image-taking unit 91 is capable of taking continuous images at aframe rate faster than the shutter speed of normal digital still cameras(e.g., 1/60 seconds), around four times as fast for example (e.g., 1/240seconds). Image signals taken by the image-taking unit 91 have differentexposure timings for each row, so distortion occurs in taken images dueto focal plane shutter effects.

Image signals taken by the image-taking unit 91 are supplied to an imageprocessing unit 211. It is needless to say that the image processingunit 211 can acquire and process image data recorded in another device.

In the event of acquiring and processing image data recorded in anotherdevice, the acquired image data is a group of images in a series, takencontinuously. The group of images in a series may either be so calledRAW format data which has been taken by an image-taking device like theimage-taking device used in the image-taking unit 91 and with the imagesignals thereof remaining unprocessed, i.e., simply digitized electricsignals obtained form the image-taking device, or may be image datawhich is obtained by the RAW format data having been subjected toprocessing so as to be viewable as an image.

The image processing unit 211 is configured of a pre-processing unit 101and coefficient storage unit 103 as with the arrangement shown in FIG.9, and further a selecting unit 231, #1 temporary image storage unit232-1 through #k temporary image storage unit 232-k, #1 multiplying unit233-1 through #k multiplying unit 233-k, and adding unit 234.

In the case of still images, one frame of corrected image data isgenerated form multiple taken images, so a case of using one taken imagefor generating other corrected image data as well was not taken intoconsideration, but in the event of displaying corrected moving imagesusing continuous corrected image data, one taken image data is usedmultiple times for synthesizing processing of multiple image data framesmaking up a moving image. That is to say, in a case of correcting stillimages, image data already used for synthesizing processing can bediscarded, but in the case of moving images, images already used stillneed to be cyclically used in the synthesizing processing, so there isthe need to have storage units for storing each of the multiple takenimages.

Accordingly, the selecting unit 231 distributes the image signalssupplied form the pre-processing unit 101 to the #1 temporary imagestorage unit 232-1 through #k temporary image storage unit 232-k. Now,the number Y of image data frames used for correcting each frame makingup the moving image data is a positive integer which is equal to k orsmaller than k, and the selecting unit 231 sequentially supplies theimage signals supplied from the pre-processing unit 101 to #1 temporaryimage storage unit 232-1 through #Y temporary image storage unit 232-Y,one frame at a time in order.

The #1 temporary image storage unit 232-1 through #k temporary imagestorage unit 232-k are storage units each capable of holding imagesignals for one frame, and temporarily store the supplied image signals(image signals prior to synthesizing). That is to say, upon receivingsupply of new image signals from the selecting unit 231, the #1temporary image storage unit 232-1 through #k temporary image storageunit 232-k overwrite the new image signals on the image signals alreadystored.

The #1 multiplying unit 233-1 through #k multiplying unit 233-k read outcorresponding multiplying coefficients stored in the coefficient storageunit 103 as necessary, and if necessary, multiply the coefficients onthe image signals stored in the #1 temporary image storage unit 232-1through #k temporary image storage unit 232-k, and if not necessary,supply the data in the #1 temporary image storage unit 232-1 through #ktemporary image storage unit 232-k to the adding unit 234 withoutperforming multiplication processing.

The coefficients which the #1 multiplying unit 233-1 through #kmultiplying unit 233-k read out from the coefficient storage unit 103depend on which number-in-order of the multiple frames for synthesizingthe one frame of image data frame in the moving image, that the frame tobe subjected to multiplication processing by that multiplying unit is.

For example, in a case wherein one image data frame of the moving imageis to be corrected by synthesizing Y frames of image data frame, with acoefficient a being multiplied to the first of the frames to besynthesized, and a coefficient (1−a) multiplied to the last of theframes, each of the #1 multiplying unit 233-1 through #k multiplyingunit 233-k operates such that, in the event that the frame which themultiplying unit itself is to perform multiplication processing on isthe first frame of the frames to be synthesized, that multiplying unitreads out the coefficient a from the coefficient storage unit 103 andexecutes the multiplication processing, and supplies the multiplicationresults to the adding unit 234. Also, each of the #1 multiplying unit233-1 through #k multiplying unit 233-k operates such that, in the eventthat the frame which the multiplying unit itself is to performmultiplication processing on is the Y'th frame of the frames to besynthesized, that multiplying unit reads out the coefficient (1−a) fromthe coefficient storage unit 103 and executes the multiplicationprocessing, and supplies the multiplication results to the adding unit234. Further, each of the #1 multiplying unit 233-1 through #kmultiplying unit 233-k operates such that, in the event that the framewhich the multiplying unit itself is to perform multiplicationprocessing on is neither the first frame of the frames to be synthesizednor the Y'th frame, that multiplying unit does not read out acoefficient from the coefficient storage unit 103, but rather andsupplies the image data frame, which has not been subjected tomultiplication processing, to the adding unit 234.

The adding unit 234 adds the pixel values of each pixel in the imagedata frames supplied from the #1 multiplying unit 233-1 through #kmultiplying unit 233-k (some image data frames have been subjected tomultiplication processing, others have not), and outputs the synthesizeimage data frame obtained as the result of addition.

FIG. 24 illustrates a configuration example of a moving imagephotography camera (digital video camera) 251 to which theabove-described image processing device 201 has been applied.

Note that the components which correspond to those in FIG. 20 aredenoted with the same reference numerals, and description thereof willbe omitted as appropriate.

The moving image photography camera 251 shown in FIG. 24 has basicallythe same configuration as that of the still image photography camera(digital still camera) 131 described with FIG. 20, except for an imageprocessing unit 211 being provided in stead of the image processing unit81, and a controller 261 being proceeded instead of the controller 141.

The controller 261 controls the operations of the moving imagephotography camera 251 based on user operation input supplied from theuser interface 143. The controller 261 is connected to the various unitsvia the control signal bus 151.

Next, the processing which the image processing unit 211 shown in FIG.23 or FIG. 24 executes will be described in time sequence with referenceto FIG. 25.

Image data frames which have been taken or externally supplied will bereferred to, in time-sequence, as image data frames F1, F2, F3, . . .F(k−1), Fk, F(k+1), and so on.

In the same way as with the base described above, if we say that thereare M rows of pixels in the entire image (i.e., that the vertical numberof pixels is M pixels) for the image data frame taken at the earliestpoint-in-time of the image data frames to be synthesized, thecoefficient “a” multiplied on each pixel value of each row may be suchthat, for example, coefficient a=0 for the pixels of the first row,coefficient a=1/M for the pixels of the next row, coefficient a=2/M forthe pixels of the next row, and so on, with the coefficient beingincremented by 1/M, such that at the final row, the coefficient is(M−1)/M=1. The coefficient a corresponding to the respective rows ismultiplied on the pixel values of each pixel of each row in the firstimage data frame F1. That is to say, due to multiplication processingbeing performed on the first image data frame F1, image frame data canbe obtained which is lighter toward the leading row and closer to normalconcentration closer to the last row.

First, let us consider a case wherein the image data frame F1 is storedin the #1 temporary image storage unit 232-1 by a certain point-in-time,and subsequently, image data frames F2, . . . , F(k−1), and Fk arestored in #2 temporary image storage unit 232-2 through #k temporaryimage storage unit 232-k.

Now, the #1 multiplying unit 233-1 reads out the coefficient a stored inthe coefficient storage unit 103 and multiples this on the image dataframe F1 stored in the #1 temporary image storage unit 232-1, andsupplies the multiplication results to the adding unit 234. Next, the #2multiplying unit 233-2 does not read out a coefficient from thecoefficient storage unit 103, either does not multiply anything ormultiplies 1 on the image data frame F2 stored in the #2 temporary imagestorage unit 232-2, and supplies the multiplication results to theadding unit 234. In the same way, the #3 multiplying unit 233-3 through#(k−1) multiplying unit 233-(k−1) do not read out a coefficient from thecoefficient storage unit 103, either do not multiply anything ormultiply 1 on the image data frames stored in the #3 temporary imagestorage unit 232-3 through #(k−1) temporary image storage unit232-(k−1), and supply the image data frames without change to the addingunit 234. Finally, the #k multiplying unit 233-k reads out thecoefficient (1−a) stored in the coefficient storage unit 103 andmultiples this on the image data frame Fk stored in the #k temporaryimage storage unit 232-k, and supplies the multiplication results to theadding unit 234.

At the adding unit 234, the supplied image data frames are added (thepixel values of the pixels are added), and the addition results aF1+F2+. . . +F(k−1)+(1−a)Fk are output.

Next, in the event that the image data frame F(k+1) taken at thesubsequent point-in-time is supplied from the pre-processing unit 101,the selecting unit 231 supplies to the #1 temporary image storage unit232-1 through #k temporary image storage unit 232-k holding the oldestimage, i.e., to the #1 temporary image storage unit 232-1, the new imagedata frame F(k+1).

Then, the #2 multiplying unit 233-2 reads out the coefficient a storedin the coefficient storage unit 103 and multiples this on the image dataframe F2 stored in the #2 temporary image storage unit 232-2, andsupplies the multiplication results to the adding unit 234. Next, the #3multiplying unit 233-3 does not read out a coefficient from thecoefficient storage unit 103, either does not multiply anything ormultiplies 1 on the image data frame F3 stored in the #3 temporary imagestorage unit 232-3, and supplies the multiplication results to theadding unit 234. In the same way, the #4 multiplying unit 233-4 through#k multiplying unit 233-k do not read out a coefficient from thecoefficient storage unit 103, either do not multiply anything ormultiply 1 on the image data frames stored in the #4 temporary imagestorage unit 232-4 through #k temporary image storage unit 232-k, andsupply the multiplication results to the adding unit 234. Finally, the#1 multiplying unit 233-1 reads out the coefficient (1−a) stored in thecoefficient storage unit 103 and multiples this on the image data frameF(k+1) stored in the #1 temporary image storage unit 232-1, and suppliesthe multiplication results to the adding unit 234.

At the adding unit 234, the supplied image data frames are added (thepixel values of the pixels are added), and the addition results aF2+F3+. . . +Fk+(1−a)F(k+1) are output.

Subsequently, in the event that the image data frame F(k+2) taken at thenext point-in-time is supplied from the pre-processing unit 101, theselecting unit 231 supplies to the #1 temporary image storage unit 232-1through #k temporary image storage unit 232-k holding the oldest image,i.e., to the #2 temporary image storage unit 232-2 where the image dataframe F2 is stored, the new image data frame F(k+2).

Thereafter, in the same way, the image data frame taken at the oldestpoint-in-time at that point-in-time is multiplied by the coefficient a,the image data frame taken at the newest point-in-time at thatpoint-in-time is multiplied by the coefficient (1−a), and the pixelvalues of the image data frames are each added, thereby generating andoutputting a corrected image data frame (e.g., an image data framecorresponding to a corrected image assuming a taken image taken withglobal shutter operations of exposure as shown as the section α in FIG.10) making up the moving image.

Also, FIG. 26 illustrates a specific example wherein the number of imagedata frames k to be used for synthesizing is set to k=7.

First, let us consider a case wherein the image data frame F1 is storedin the #1 temporary image storage unit 232-1 by a certain point-in-time,and subsequently, image data frames F2, . . . , F6, and F7 are stored in#2 temporary image storage unit 232-2 through #7 temporary image storageunit 232-7.

Now, the #1 multiplying unit 233-1 reads out the coefficient a stored inthe coefficient storage unit 103 and multiples this on the image dataframe F1 stored in the #1 temporary image storage unit 232-1, andsupplies the multiplication results to the adding unit 234. Next, the #2multiplying unit 233-2 does not read out a coefficient from thecoefficient storage unit 103, either does not multiply anything ormultiplies 1 on the image data frame F2 read out from in the #2temporary image storage unit 232-2, and supplies the image data frame tothe adding unit 234. In the same way, the #3 multiplying unit 233-3through #6 multiplying unit 233-6 do not read out a coefficient from thecoefficient storage unit 103, either do not multiply anything ormultiply 1 on the image data frames read out from the #3 temporary imagestorage unit 232-3 through #6 temporary image storage unit 232-6, andsupply the image data frames to the adding unit 234. Finally, the #7multiplying unit 233-7 reads out the coefficient (1−a) stored in thecoefficient storage unit 103 and multiples this on the image data frameF7 stored in the #7 temporary image storage unit 232-7, and supplies themultiplication results to the adding unit 234.

At the adding unit 234, the supplied image data frames are added (thepixel values of the pixels are added), and the addition results aF1+F2+. . . +F6+(1−a)F7 are output.

Next, in the event that the image data frame F8 taken at the subsequentpoint-in-time is supplied from the pre-processing unit 101, theselecting unit 231 supplies to the #1 temporary image storage unit 232-1through #7 temporary image storage unit 232-7 holding the oldest image,i.e., to the #1 temporary image storage unit 232-12 where the image dataframe F1 is stored, the new image data frame F8.

Now, the #2 multiplying unit 233-2 reads out the coefficient a stored inthe coefficient storage unit 103 and multiples this on the image dataframe F2 stored in the #2 temporary image storage unit 232-2, andsupplies the multiplication results to the adding unit 234. In the sameway, the #3 multiplying unit 233-3 through #7 multiplying unit 233-7 donot read out a coefficient from the coefficient storage unit 103, eitherdo not multiply anything or multiply 1 on the image data frames storedin the #3 temporary image storage unit 232-3 through #7 temporary imagestorage unit 232-7, and supply the multiplication results to the addingunit 234. Finally, the #1 multiplying unit 233-1 reads out thecoefficient (1−a) stored in the coefficient storage unit 103 andmultiples this on the image data frame F8 stored in the #1 temporaryimage storage unit 232-1, and supplies the multiplication results to theadding unit 234.

At the adding unit 234, the supplied image data frames are added (thepixel values of the pixels are added), and the addition results aF2+F3+. . . +F7+(1−a)F8 are output.

Subsequently, in the event that an image data frame F9 taken at the nextpoint-in-time is supplied from the pre-processing unit 101, theselecting unit 231 supplies to the #1 temporary image storage unit 232-1through #7 temporary image storage unit 232-7 holding the oldest image,i.e., to the #2 temporary image storage unit 232-2, the new image dataframe F9.

Thereafter, in the same way, the image data frame taken at the oldestpoint-in-time at that point-in-time is multiplied by the coefficient a,the image data frame taken at the newest point-in-time at thatpoint-in-time is multiplied by the coefficient (1−a), and the pixelvalues of the image data frames are each added, thereby generating andoutputting a corrected image data frame (e.g., an image data framecorresponding to a corrected image assuming a taken image taken withglobal shutter operations of exposure as shown as the section α in FIG.10), making up the moving image.

Now, the processing in FIG. 25 and FIG. 26 has been described with theimage data frame taken at the oldest point-in-time being multiplied bythe coefficient a, and the image data frame taken at the newestpoint-in-time being multiplied by the coefficient (1−a), but it isneedless to say that the present embodiment is not restricted to thisarrangement, and that arrangements may be made wherein three or moreoptional image data frames, or all image data frames for that matter,are multiplied by optionally set coefficients, as necessary, so as tocarry out correction processing different from that described above withFIG. 15.

Next, the image-taking processing of moving images executed at themoving image photography camera 251 will be described with reference tothe flowchart in FIG. 27.

In step S81, the controller 261 determines whether or not taking ofmoving images has been instructed. In the event that determination ismade in step S81 that taking of moving images has not been instructed,the flow advances to step S82, and in the event that determination ismade in step S81 that taking of moving images has been instructed, theflow advances to step S86.

In steps S82 through S87, processing basically the same as that of stepsS2 through S7 described with FIG. 21 is performed.

That is to say, in the event that determination is made that taking ofmoving images has not been instructed, determination is made regardingwhether or not the user has instructed changing of the settings of thenumber of synthesizing frames, and in the event that determination ismade that the user has instructed changing of the settings of the numberof synthesizing frames, the settings for the number of synthesizingframes are changed, determination is made regarding whether or not theuser has instructed changing coefficient settings, and in the event thatdetermination is made that the user has instructed changing of thecoefficient settings, the coefficient settings are changed.

In the event that determination is made that taking of moving images hasbeen instructed, the settings for the number of synthesizing frames areobtained, and coefficient settings are obtained.

In step S88, the image-taking unit 91 starts image-taking, and suppliesimage data acquired by image-taking to the image-processing unit 211.

In step S89, Image Computation Processing 2 described later withreference to FIG. 28 is executed.

In step S90, the controller 261 determines whether or not computationresults have been obtained from the image processing unit 211. In theevent that determination is made in step S90 that computation resultshave not been obtained, the flow returns to step S89, and the subsequentprocessing is repeated.

In the event that determination is made in step S90 that computationresults have been obtained, in step S91, the controller 261 controlssupply to the display unit 146 of the computation results obtained bythe image computation processing executed in step S89 that are outputfrom the image processing unit 211, i.e., the corrected image dataframes making up the video image, subjected to processing at the picturesignal processing unit 144 as necessary. The display unit 146 displaysthe image data which is the supplied computation results, i.e., theabove-described corrected images.

In step S92, the controller 261 determines whether or not the user hasinstructed starting or stopping of storage of computation results, basedon the signals supplied from the user interface 143.

In step S92, in the event that determination is made that the user hasinstructed starting or stopping of storage of computation results, instep S93 the controller 261 supplies the computation results to theimage compressing unit 145 for compression processing if necessary, andthen supplies to the large-capacity storage unit 148 to start storing,or stores supplying to the large-capacity storage unit 148. Thelarge-capacity storage unit 148 starts or stops storing of the suppliedcomputation results.

In step S92, in the event that determination is made that the user hasnot instructed starting or stopping of storage of computation results,or following completion of the processing of step S93, the flow proceedsto step S94, where the controller 261 determines whether or not the userhas instructed starting or stopping of external output of computationresults, based on the signals supplied from the user interface 143. Inthe event that determination is made that the user has not instructedstarting or stopping of external output of computation results, theprocessing ends.

In step S94, in the event that determination is made that the user hasinstructed starting or stopping of external output of computationresults, in step S95 the controller 261 supplies the computation resultsto the image compressing unit 145 for compression processing ifnecessary and then supplies to the external interface 147, or stopssupplying of the computation results to the external interface 147. Theexternal interface 147 starts or stops outputting of the computationresults supplied thereto to an external device.

In step S96, the controller 261 determines whether or not the user hasinstructed ending of taking video images, based on the signals suppliedfrom the user interface 143. In step S96, in the event thatdetermination is made that the user has not instructed ending of takingvideo images, the flow returns to step S89, and subsequent processing isrepeated. In the event that determination is made in step S96 that theuser has instructed ending of taking video images, the processing ends.

Due to such processing, video images made up of image data which hasbeen taken and corrected is displayed, and is internally stored oroutput to external devices based on user operations.

Next, the Image Computation Processing 2 executed at step S89 in FIG. 27will be described with reference to the flowchart in FIG. 28.

In step S121, the pre-processing unit 101 subjects a supplied image dataframe to predetermined processing, and then supplies the taken imagedata to the selecting unit 231. The selecting unit 231 acquires thetaken image data.

In step S122, the selecting unit 231 supplies and stores the acquiredframe of taken image data to a predetermined temporary storage unit,specifically, the temporary storage unit of the #1 temporary imagestorage unit 232-1 through #k temporary image storage unit 232-k holdingthe image taken at the oldest point-in-time at that point-in-time.

In step S123, which of the #1 multiplying unit 233-1 through #kmultiplying unit 233-k are to execute coefficient multiplication foreach row is determined, regardless of whether the arrangement is suchthat image data frame taken at the oldest point-in-time being multipliedby the coefficient a and the image data frame taken at the newestpoint-in-time being multiplied by the coefficient (1−a), orpredetermined coefficients are multiplied on three or more image dataframes.

In step S124, of the #1 multiplying unit 233-1 through #k multiplyingunit 233-k, those which are to execute coefficient multiplicationprocessing obtain corresponding coefficients stored in the coefficientstorage unit 103.

In step S125, of the #1 multiplying unit 233-1 through #k multiplyingunit 233-k, those to execute coefficient multiplication processingmultiply corresponding coefficients on the pixel data of each row. Thatis to say, data frames such as described with reference to FIGS. 17A and17C for example, are generated at the corresponding multiplying units.

In step S126, the adding unit 234 determines whether or not additionresults wherein a predetermined number of frames have been synthesizedcan be obtained, i.e., whether or not the predetermined number of frameshave already been taken. In the event that determination is made in stepS126 that addition results wherein a predetermined number of frames havebeen totaled have not been obtained, the flow returns to step S89 inFIG. 27, proceeds to step S90, determination is made that computationresults have not been obtained, and the flow returns to step S89.

In the event that determination is made in step S126 that additionresults wherein a predetermined number of frames have been totaled havebeen obtained, in step S127 the adding unit 234 executes additionprocessing of the output supplied from the #1 multiplying unit 233-1through #k multiplying unit 233-k.

In step S128, the adding unit 234 outputs the addition processingresults, the flow returns to step S89 in FIG. 27, and proceeds to stepS90.

Due to such processing, with the case of taking video images as well,temporarily storing multiple continuous taken images taken which have adistorted subject owing to focal plane shutter effects, and multiplyingpredetermined coefficients as necessary on the taken images, generatesimage data frames used for generating a corrected image as describedwith FIGS. 17A through 17C for example, and synthesizing these yieldscorrected image data frames making up the video images, wherein subjectdistortion occurring due to focal plane shutter effects appears to havebeen corrected, as described with reference to FIG. 18, for example.

Now, with the case of video images as well, the greater the number ofimages that are synthesized in a case of generating corrected image dataframes making up the video images, the more corrected the distortion ofthe subjected in the image data generated by synthesizing appears.However, the greater the number of images that are synthesized, there isso-called blurring in images of moving subjects (or subjects whichappear to move in the screen due to the camera moving). This blurringcan be suppressed well by raising the frame rate as much as possiblewhen taking the images to be synthesized. For example, the blurringoccurring in a corrected image obtained in a case of using three imagedata frames taken at a frame rate three times the shutter speed of anormal digital still camera and performing synthesizing processing isapproximately equivalent to the blurring occurring in a normal digitalstill camera.

Note that while FIGS. 27 and 28 describe the processing executed in themoving image photography camera 251 described with FIG. 24, processingperformed in the image processing device 201 described with FIG. 23 isbasically the same processing as the Image Computation Processing 2described with FIG. 28.

As described above, distortion occurring in an image of a moving subject(or a subject moving within the screen due to the camera moving) thathas been taken by an image-taking device (in many cases, a solid-stateimaging device wherein pixels having photoelectric conversion functionare disposed in an array, e.g., an XY address-type imaging device)wherein focal plane shutter effects occur, such as with a camera havinga built-in CMOS image sensor for example, can be corrected with a simpleconfiguration, thereby providing good images and video which are moreagreeable to view, i.e., which are not unnaturally distorted.

Also, which the processing described is processing for a case whereinfocal plane shutter effects occur due to the exposure startpoint-in-time differ among the rows in a taken image, it is needless tosay that the present invention is restricted to such an arrangement, andthat the present invention is applicable to, for example, cases whereinfocal plane shutter effects occur due to the exposure startpoint-in-time differ among the columns in a taken image.

Also, in cases wherein the exposure start point-in-time does not differaccording to rows or columns, but differs according to blocks ofpredetermined numbers of pixels, or differs for all pixels, for example,it is needless to say that advantages like those described above can beobtained by arrangements wherein, of multiple image data frames to besynthesized, multiplication processing is performed using coefficientssuch that of the image data taken at the earliest point-in-time or arelatively early point-in-time, pixels exposed at an early point-in-timeare weighted less, and pixels exposed at a later point-in-time (e.g.,pixels of the last row) are weighted more, while multiplicationprocessing is performed using coefficients such that of the image datataken at the latest point-in-time or a relatively late point-in-time,pixels exposed at an early point-in-time are weighted more, and pixelsexposed at a later point-in-time are weighted less.

The above-described series of processing can be executed by hardware, orby software. In this case, the above-described processing is executed bya personal computer 500 such as shown in FIG. 29.

In FIG. 29, a CPU (Central Processing Unit) 501 executes various typesof processing following programs stored in ROM (Read Only Memory) 502 orprograms loaded to RAM (Random Access Memory) 503 from a storage unit508. The RAM 503 also stores as suitable any data necessary for the CPU501 to execute the various types of processing.

The CPU 501, ROM 502, and RAM 503 are mutually connected via an internalbus 504. An input/output interface 505 is also connected to thisinternal bus 504.

Connected to the input/output interface 505 are an input unit 506 madeup of a keyboard, mouse, etc., an output unit 507 made up of a displaysuch as a CRT or LCD or the like, a speaker, etc., a storage unit 508formed of a hard disk or the like, and a communication unit 509 made upof a modem, terminal adapter, etc. The communication unit 509 performscommunication processing via various types of networks, includingtelephone lines, cable TV lines, and so forth.

The input/output interface 505 is also connected to a drive 510 asnecessary, where removable media 521 such as a magnetic disk, opticaldisc, magneto-optical disc, semiconductor memory, or the like, asmounted as suitable, with a computer program read out therefrom beinginstalled to the storage unit 508 as necessary.

In the event of executing the series of processing by software, aprogram making up that software is installed from a network or recordingmedium.

The recording medium is not restricted to packaged media configured ofthe removable media 521 in which the program is recorded, which isdistributed separately from the computer so as to provide the user withthe program, as shown in FIG. 29, but also includes cases wherein theprogram is already recorded in ROM 502 or a storage unit 508 which mayinclude hard disk, and provided to the user in a state of being includedin the device.

Also, with the present specification, the steps described in the programrecorded in the recording medium may of course be executed in thetime-sequence in which they are described, and also may be executed inparallel or individually rather than in time-sequence.

Note that in the present specification, the term “system” representsoverall equipment made up of multiple devices.

It should be understood by those skilled in the art that variousmodifications, combinations, sub-combinations and alterations may occurdepending on design requirements and other factors insofar as they arewithin the scope of the appended claims or the equivalents thereof.

1. An image processing device, comprising: image acquisition means, foracquiring a plurality of image data sets configured of a plurality ofpixels disposed in array fashion and having subject distortion due tofocal plane shutter effects and corresponding to taken images taken atcontinuous exposure timings; coefficient storage means for storingparticular coefficients, said coefficients being determined by whichnumber-in-order of a plurality of images that said image data set,acquired by said image acquisition means, corresponds to, and determinedby each pixel position in said image; multiplying means for multiplyinga pixel value of a predetermined pixel in said image data sets, acquiredby said image acquisition means, by said particular coefficient storedin said coefficient storage means; and adding means for adding eachpixel value of a predetermined number of said image data sets, includingsaid image data sets having said pixels which have been multiplied bysaid particular coefficients by said multiplying means; wherein saidparticular coefficients stored in said coefficient storage means includea coefficient wherein, at said image data set taken at the earliestpoint-in-time of said image data sets subjected to addition by saidadding means, pixels exposed at an early point-in-time are weighted lessand pixels exposed at a late point-in-time are weighted more, and acoefficient wherein, at said image data set taken at the latestpoint-in-time of said image data sets subjected to addition by saidadding means, pixels exposed at an early point-in-time are weighted moreand pixels exposed at a late point-in-time are weighted less.
 2. Theimage processing device according to claim 1, further comprising:image-taking means for taking an image of a predetermined subject;wherein said image acquisition means acquire said image data setsobtained by being taken by said image-taking means.
 3. The imageprocessing device according to claim 2, wherein said image-taking meanshave photoelectric conversion functions.
 4. The image processing deviceaccording to claim 1, wherein said particular coefficients stored insaid coefficient storage means include coefficients multiplied onpredetermined pixels of said image data sets other than said image dataset taken at the earliest point-in-time and said image data set taken atthe latest point-in-time of said image data sets subjected to additionby said adding means; and wherein said multiplying means multiply saidparticular coefficients stored in said coefficient storage means onpixel values of predetermined pixels of three or more of said image datasets, of said image data sets subjected to addition by said addingmeans.
 5. The image processing device according to claim 1, said addingmeans further comprising: holding means for temporarily holding an imagedata frame; and pixel value adding means for adding the pixel values ofcorresponding pixels of one or the other of said image data set havingsaid pixels on which said particular coefficient has been multiplied bysaid multiplying means and said image data set acquired by said imageacquisition means, and said image data frame held in said holding means;wherein one or the other of said image data set taken at the earliestpoint-in-time of said image data sets subjected to addition by saidadding means and said image data set calculated by addition of pixelvalues of corresponding pixels by said pixel adding means is overwrittenon said holding means so as to be held therein.
 6. The image processingdevice according to claim 1, further comprising: a plurality of imagedata holding means for holding said image data sets acquired by saidimage acquisition means; and selecting means for selecting which of saidplurality of image data holding means to supply said image data setsacquired by said image acquisition means to so as to be held therein;wherein the number of said multiplying means provided is the same asthat of said image data holding means, in a corresponding manner; andwherein said multiplying means reads out said particular coefficientfrom said particular coefficients stored in said coefficient storagemeans as necessary, based on the number-in-order of image-taking of saidimage data set held in said corresponding image data holding meanswithin said plurality of image data sets added by said adding means, andexecutes multiplication of the pixel values of predetermined pixels ofsaid image data set by said particular coefficient.
 7. The imageprocessing device according to claim 6, wherein said selecting meansselect, of said image data sets hold in said plurality of image dataholding means, said image data holding means where said image data settaken at the earliest point-in-time is being held, as said data holdingmeans to hold said image data set newly acquired by said imageacquisition means.
 8. The image processing device according to claim 1,wherein said image data set acquired by said image acquisition means isRAW format data.
 9. The image processing device according to claim 1,wherein said image data set acquired by said image acquisition means isimage data wherein RAW format data has been subjected to predeterminedprocessing so as to be displayable in a viewable state.
 10. The imageprocessing device according to claim 1, further comprising signalprocessing means for adjusting pixel signals of each of said pixelsincluded in said image data set acquired by said image acquisitionmeans, to a desired signal form or signal level.
 11. The imageprocessing device according to claim 10, wherein, in the event that saidimage data set acquired by said image acquisition means is analogsignals, said signal processing means execute processing for convertinganalog signals into digital signals.
 12. The image processing deviceaccording to claim 10, wherein, in the event that said image data setacquired by said image acquisition means is RAW format data, said signalprocessing means execute processing for setting a black level of asignal processing system, and interpolating the signal level of droppedpixels which do not perform normal signal output, based on surroundingnormal pixel signal levels.
 13. The image processing device according toclaim 10, wherein, in the event that said image data set acquired bysaid image acquisition means is image data wherein RAW format data hasbeen subjected to predetermined processing so as to be displayable in aviewable state, said signal processing means execute processing forsubjecting said image data to inverse gamma conversion, so as to havethe same brightness signal properties as RAW format data.
 14. The imageprocessing device according to claim 1, further comprising: operatinginput acquisition means for receiving operating input of a user; whereinsaid operating input acquisition means receive operating input forsetting said predetermined number of said image data sets to be added bysaid adding means.
 15. The image processing device according to claim 1,further comprising: operating input acquisition means for receivingoperating input of a user; wherein said operating input acquisitionmeans receive operating input for setting said particular coefficientsstored by said coefficient storage means.
 16. An image processing methodfor an image processing device which uses a plurality of image dataframes to generate a corrected image of a taken image having subjectdistortion due to focal plane shutter effects, said method comprisingthe steps of: acquiring a plurality of image data sets configured of aplurality of pixels disposed in array fashion and having subjectdistortion due to focal plane shutter effects and corresponding to aplurality of taken images taken at continuous exposure timings;acquiring, from a coefficient storage unit for storing particularcoefficients, coefficients determined by which number-in-order of aplurality of images that said acquired image data set corresponds to,and determined by each pixel position in said image; multiplying of apixel value of a predetermined pixel in said image data sets by saidparticular coefficient that has been acquired; and adding of each pixelvalue of a predetermined number of said image data sets, including saidimage data sets having said pixels which have been multiplied by saidparticular coefficients; wherein said particular coefficients stored insaid coefficient storage unit include a coefficient wherein, at saidimage data set taken at the earliest point-in-time of said plurality ofimage data sets subjected to addition, pixels exposed at an earlypoint-in-time are weighted less and pixels exposed at a latepoint-in-time are weighted more, and a coefficient wherein, at saidimage data set taken at the latest point-in-time of said plurality ofimage data sets subjected to addition, pixels exposed at an earlypoint-in-time are weighted more and pixels exposed at a latepoint-in-time are weighted less.
 17. A computer recording medium,storing a program for causing a computer to execute processing of usinga plurality of image data frames to generate a corrected image of ataken image having subject distortion due to focal plane shuttereffects, said processing comprising the steps of: controllingacquisition of a plurality of image data sets configured of a pluralityof pixels disposed in array fashion and having subject distortion due tofocal plane shutter effects and corresponding to a plurality of takenimages taken at continuous exposure timings; controlling acquisition,from a coefficient storage unit for storing particular coefficients, ofcoefficients determined by which number-in-order of a plurality ofimages that said acquired image data set corresponds to, and determinedby each pixel position in said image; controlling multiplying of a pixelvalue of a predetermined pixel in said image data sets by saidparticular coefficient regarding which acquisition has been controlled;and controlling adding of each pixel value of a predetermined number ofsaid image data sets, including said image data sets having said pixelswhich have been multiplied by said particular coefficients; wherein saidparticular coefficients stored in said coefficient storage unit includea coefficient wherein, at said image data set taken at the earliestpoint-in-time of said image data sets subjected to addition, pixelsexposed at an early point-in-time are weighted less and pixels exposedat a late point-in-time are weighted more, and a coefficient wherein, atsaid image data set taken at the latest point-in-time of said pluralityof image data sets subjected to addition, pixels exposed at an earlypoint-in-time are weighted more and pixels exposed at a latepoint-in-time are weighted less.
 18. An image processing device,comprising: an image acquisition unit, for acquiring a plurality ofimage data sets configured of a plurality of pixels disposed in arrayfashion and having subject distortion due to focal plane shutter effectsand corresponding to taken images taken at continuous exposure timings;a coefficient storage unit for storing particular coefficients, saidcoefficients being determined by which number-in-order of a plurality ofimages that said image data set, acquired by said image acquisitionunit, corresponds to, and determined by each pixel position in saidimage; a multiplying unit for multiplying a pixel value of apredetermined pixel in said image data sets, acquired by said imageacquisition unit, by said particular coefficient stored in saidcoefficient storage unit; and an adding unit for adding each pixel valueof a predetermined number of said image data sets, including said imagedata sets having said pixels which have been multiplied by saidparticular coefficients by said multiplying unit; wherein saidparticular coefficients stored in said coefficient storage unit includea coefficient wherein, at said image data set taken at the earliestpoint-in-time of said image data sets subjected to addition by saidadding unit, pixels exposed at an early point-in-time are weighted lessand pixels exposed at a late point-in-time are weighted more, and acoefficient wherein, at said image data set taken at the latestpoint-in-time of said plurality of image data sets subjected to additionby said adding unit, pixels exposed at an early point-in-time areweighted more and pixels exposed at a late point-in-time are weightedless.